Data Science Projects for Freelancers

We are seeking an experienced data scientist and backend developer (or small team) to build an intelligent optimization engine that prioritizes the resolution of financial liabilities based on user-specific constraints, internal fee structures, and historical resolution data. This is a resource-constrained optimization problem designed to reduce a user’s total cost of liability resolution while maintaining cash flow neutrality and integrating firm-specific fee timing rules.

The tool should be developed as a backend service or API and must support two distinct modes of ingestion. In the first mode, the API will receive a one-time input of liabilities for a single user. These liabilities—defined by balance, source, category, jurisdiction, and other attributes—will be used to generate a proposed contribution schedule that solves for the lowest total cost to the user. The system should simulate multiple resolution timelines and produce at least three structured output scenarios: (1) an optimized solution that minimizes cost and contribution term, (2) a maximum-term scenario (e.g., 48 months) with the lowest monthly contribution possible, and (3) a mid-range option that balances time and affordability. For each scenario, the system must calculate the estimated total resolution cost, required contribution amount, and settlement timeline. The output will also include an optimized resolution order of liabilities, including estimated settlement dates, amounts, durations, and cumulative cost forecasts.

In the second mode, the API will ingest a full database of liabilities across all users in the system and dynamically update each user’s recommended resolution order. These updates must respond in real time to events such as the resolution of a liability, the addition of a new obligation, changes to historical performance data, or status shifts such as the onset of litigation. This ensures that each user’s resolution roadmap stays current and reflects the latest prioritization logic. In this batch mode, the system must also support the generation of firm-wide operational worklists—for example, a consolidated view of all liabilities scheduled for action in the current month—allowing internal teams to efficiently allocate work across staff.

The optimization model should incorporate constraint logic for monthly cash availability (user contributions), internal fee schedules (e.g., fees spread over the term of each resolution), and prioritization weights (such as legal risk, statute of limitations exposure, and historical aggressiveness of the creditor or liability type). These parameters will be provided and refined by our team.

This project is ideal for professionals with proven experience in resource optimization, financial modeling, and backend simulation or scheduling engines. We are structuring the project around fixed-price milestones, with a total budget of up to $25,000.

Skills: Python, API Development, Data Science, Optimization Modeling, Operations Research, Algorithm Development, Financial Modeling

We are seeking a highly skilled Meta media buyer with extensive experience in the supplements and nutraceuticals industry. The ideal candidate will have a proven track record of successful campaigns, deep understanding of target audiences, and the ability to optimize ads for maximum ROI. If you have significant experience in this niche and can demonstrate your expertise, we want to hear from you. Please only apply if you meet the requirements. They must be able to give us a data feedback loop on the performance through Motion/Platform metrics to give the creative team feedback on what to do better. They need to be well versed in reaching the right audience as we create new potential personas and sub sets of those personas.

Key skills:
- Meta Ads Management
- Data science
- Motion experience
- Deep Knowledge of Supplements/Nutraceuticals
- Campaign Optimization
- Audience Targeting
- Analytics and Reporting

Skills: Search Engine Optimization, Pay Per Click Advertising, SEO Keyword Research, Campaign Optimization, Content Writing

Hello , I need help with solving two exercises of my intake exam for my master application which include writing shell scripts . I failed the first time and this is my last opportunity. I have the exercises in photo but they are a little bit blurry . I wanted to ask if you could help me in real time during my exam , I only have 1 hour I will send you the exercises with photo . I do not know if the exercises will be the same

Skills: Python, Python Script, Database Management System, Scrapy, Beautiful Soup, Selenium, Automation, pandas, NumPy, Python-Requests, Web Scraping, Data Extraction, Data Mining, Data Engineering, Data Science

We have a software that applies to jobs for users and we are currently using scrapers, bots, and an Open AI api to apply for the jobs. We are having several issues when it come to passing the captcha, cloud flare, and proxy solutions to properly apply to the jobs without being blocked. We have an automation in place that creates the email, username, and password for each user. We now need a developer that specializes in AI agents to build out an AI agent that can create accounts with the system generated username and passwords we make then apply for the proper jobs based on the logic wee give for the job criteria on LinkedIn, GlassDoor, SnagaJob, Monster, along with a few other job boards. We need some one asap that can provide case studies and expertise in creating effective AI agents that are not blocked from ding tasks such as account creation and filling in fields on a web form. We also need a developer that is extremely advanced In proxy systems also. DO NOT paste any copy and paste cover letters please read this entire listing. This is a listing to permanently hire and grow the product this is our biggest blocker and we need to scale beyond it.

Skills: AI Bot, AI Agent Development, AI Development, AI Model Training Prompt, AI Model Training, Data Science, AI Implementation, AI Instruction, AIOps, AI App Development, Model Deployment, Deep Learning, Python, Artificial Intelligence, SaaS, React, API, Amazon Web Services, Product Management, Web Proxy

Company Description
WellomyTech provides state-of-the-art technology and customized solutions to small and medium-sized enterprises (SMBs) and startups. Our goal is to ensure that these businesses enjoy the same advantages typically reserved for larger corporations. By leveraging cloud-based technologies and artificial intelligence, we empower small businesses to boost sales, reduce operational expenses, expand into new markets, and enhance cybersecurity, all while keeping costs manageable.

Role Description
This is a contract remote role for an AI/ML & Python Trainer. The AI/ML & Python Trainer will be responsible for teaching and training clients on various artificial intelligence, machine learning, and Python programming tools and techniques. Trainers are expected to share their availability in advance and conduct training sessions as scheduled once bookings are confirmed. This role operates on a revenue-sharing model.

Responsibilities
Deliver high-quality training sessions on AI/ML concepts, Python programming, tools, and techniques.

Develop and present practical use cases and real-world examples using Python libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Matplotlib).

Customize training content to meet the specific needs of different client groups.

Share the training schedule and availability in advance to facilitate bookings.

Conduct sessions remotely, using virtual tools and platforms effectively.

Provide post-training support and address any follow-up queries from participants.

Continuously update training materials to reflect the latest AI/ML and Python programming trends and advancements.

Qualifications
10+ years of experience in artificial intelligence, machine learning, and Python programming.

Proven experience in teaching, training, or lecturing on AI/ML and Python topics.

Strong skills in information technology and software development, particularly using Python for AI/ML solutions.

Proficiency in Python libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Matplotlib).

Excellent communication and interpersonal skills.

Experience in creating and conducting training sessions for diverse audiences.

Ability to work independently and remotely.

Bachelor’s degree in Data Science, Information Technology, Computer Science, or a related field is preferred.

Skills: Machine Learning, Artificial Intelligence, Python, Natural Language Processing

Optimize Power BI environment and Power Automate for our MVP product

Skills: Microsoft Power BI, Microsoft Excel, Data Visualization, Microsoft Power BI Data Visualization, Computer Engineering, Data Science, Marketing Analytics, Office 365, Microsoft Power Automate, Visualization, Automation, Microsoft PowerApps, Microsoft Office, Microsoft Power BI Development

Nos services en Automatisation & Intelligence Artificielle

-Automatisation de processus → Création de workflows intelligents pour optimiser les tâches répétitives.

-Développement de chatbots & assistants IA → Conception de solutions IA pour améliorer l’engagement client et le support.

-Intégration d’outils no-code & low-code → Utilisation de plateformes comme Make, Zapier, ou Airtable pour automatiser sans code complexe.

-Analyse et traitement de données → Exploitation de l’IA pour structurer, analyser et valoriser les données.

-Développement sur mesure → Création d’outils IA personnalisés adaptés aux besoins spécifiques des entreprises.

-Optimisation des workflows → Amélioration des systèmes existants pour booster la productivité.

-Intégration d’IA générative → Exploitation de modèles comme GPT, Claude ou Gemini pour automatiser la création de contenu et la prise de décision.



Nous recherchons des freelances experts dans ces domaines, motivés par l’innovation et l’impact !


Un peu plus sur IRagency

Nous sommes une agence jeune, ambitieuse et en pleine croissance, spécialisée dans l’automatisation des processus et l’intelligence artificielle pour optimiser la productivité des entreprises en allant droit au but. Notre mission ? Remplacer les tâches répétitives par des solutions intelligentes et aider nos clients à gagner en efficacité

Nous recherchons des freelances passionnés, créatifs et autonomes, prêts à travailler sur des projets stimulants où chaque idée compte. Travailler avec nous, c’est rejoindre une aventure où l’innovation et l’impact sont au cœur de tout.

Si tu maîtrises des outils d’automatisation, le développement d’IA ou l’intégration de solutions no-code/low-code, on veut te rencontrer !

Prêt à transformer l’avenir du travail avec nous en retirant la pénébilité des CDI ou CDD ? 🚀

Skills: Artificial Intelligence, Data Science, Data Analysis

We are looking for a data scientist that could produce two models to classify YouTube channels for us.

Model 1: Demographics

Build a model that would help predict demographics of YouTube channel viewers. We have raw demographics data (Gender and Age) from a couple thousands of channels and looking to model from that seed data to expand to 1MM channels. We will be able to compare the model results with channels we will use as holdout so we can assess accuracy.

Data available for each channel would include:

* Name
* Channel ID
* Channel Link
* Country
* Language
* Subscribers
* Total Views
* Number of Videos
* Last Video Title
* Channel Tags
* Channel Description
* Category
* Top 25 Video Tags
* Profile Picture
* Made for kids flag

Model 2: Contextual

We also want a model that is able to classify channels based on a detailed list of contextual segments (e.g Sports, Finance) based on the channel information above. We will provide the list of context to match to.

Is this something you think you could help us with, please provide a high level overview of your approach, cost and timeframe. Examples of similar projects would help.

Skills: Artificial Intelligence, Machine Learning, Data Science

Prior experience in this field is a plus

- Design and implement AI algorithms for object detection, behavior analysis, and anomaly detection in video streams.
- Develop and optimize computer vision pipelines for real-time video processing.
- Train and evaluate deep learning models
- Collaborate with software engineers to integrate AI models into production systems
-Design and implement CI/CD pipelines for deploying and managing machine learning models

tell us a short brief about your approach and how you see this project can be done.

Skills: Machine Learning, Image Processing, Computer Vision, Artificial Intelligence, Data Science

🔧 Job Post: Patch Mod Loader EXE, Remove Auth, Sanitize Payload, and Create Standalone Mod Launcher

Overview:
I’m working with a third-party mod loader that prompts for platform selection (e.g., Steam or Xbox), then downloads a payload containing an EXE, multiple DLLs, a config.json file (used to define the mod menu), a config.ini, and other files. I want to remove the authentication step, inspect the payload for safety, and turn this into a clean, standalone launcher that runs before launching my game.

⸻

✅ Scope of Work
1. Bypass Authentication Logic:
• Identify and remove or patch the EXE’s Steam/Xbox platform check
• Loader should go straight to mod execution without prompts
2. Dump and Sanitize Payload:
• Dump the downloaded DLLs and EXE from memory at the right point
• Ensure a complete and usable dump (some current dumps are corrupted or partial)
• Analyze for malware, rootkits, or suspicious behavior
• Remove anything unsafe and preserve clean modding functionality
3. Understand Mod Menu Behavior:
• The config.json file defines the mod menu structure
• Figure out how it’s loaded and how it interacts with the EXE/DLLs
• Enable custom edits to the JSON (or make it optional)
4. Build a Standalone Mod Loader:
• Final product should:
• Skip authentication
• Inject or load the DLLs and configs
• Work reliably every time without re-downloading
• Optionally launch the game after injection
5. Automate INI Config Tweaks:
• Apply specific config.ini changes automatically as part of the launcher flow.

Skills: C++, C#, Java, Python, Assembly Language, Reverse Engineering, Machine Learning, R, Data Science, MATLAB, Deep Learning, IBM SPSS, Algorithms, Excel Macros, C

In Google colab, I need help developing anomaly detection model and deploying it via API, so it processes stream of data. More detailed description and existing code in dm.
Thank you

Skills: Flask, Python, Data Science

Build an AI lead generation automation setup to scrape Facebook or LinkedIn etc for continuous lead generation.

Friendly user interface where we can easily swap out different criteria.

Skills: Data Science, Artificial Intelligence, Machine Learning Model, Neural Network, Deep Neural Network, Natural Language Processing, Computer Vision, Chatbot Development, Generative AI, Large Language Model, LLaMA, BERT, Stable Diffusion, Midjourney AI, OpenAI API

We are seeking an experienced data analyst to work with a LinkedIn dataset. Your role will involve extracting meaningful insights, generating reports, and visualizing data trends. Proficiency in data manipulation and a solid understanding of LinkedIn's ecosystem are essential. If you have a passion for data and can turn raw information into actionable insights, we want to hear from you. Please provide samples of previous work related to social media data analysis.

Skills: Data Analysis, Microsoft Excel, Data Mining, Data Science, Python

We are looking for an experienced writer with experience in data science, data analytics, and/or machine learning degree programs. We are building a website that provides information on data science degrees, and content requirements will include long-form content (up to 3,500 words) that dives into the details of various US university programs.

Content templates will be provided that focus on SEO, and we would like a writer who brings their own personality and experience to the content. Aiming for weekly article delivery.

Looking forward to working together.

Skills: Content Writing, Article Writing, Blog Content, Blog Writing, Writing, Copywriting, Data Science, Data Analytics, Analytics, Machine Learning

🔧 Job Post: Patch Mod Loader EXE, Remove Auth, Sanitize Payload, and Create Standalone Mod Launcher

Overview:
I’m working with a third-party mod loader that prompts for platform selection (e.g., Steam or Xbox), then downloads a payload containing an EXE, multiple DLLs, a config.json file (used to define the mod menu), a config.ini, and other files. I want to remove the authentication step, inspect the payload for safety, and turn this into a clean, standalone launcher that runs before launching my game.

⸻

✅ Scope of Work
1. Bypass Authentication Logic:
• Identify and remove or patch the EXE’s Steam/Xbox platform check
• Loader should go straight to mod execution without prompts
2. Dump and Sanitize Payload:
• Dump the downloaded DLLs and EXE from memory at the right point
• Ensure a complete and usable dump (some current dumps are corrupted or partial)
• Analyze for malware, rootkits, or suspicious behavior
• Remove anything unsafe and preserve clean modding functionality
3. Understand Mod Menu Behavior:
• The config.json file defines the mod menu structure
• Figure out how it’s loaded and how it interacts with the EXE/DLLs
• Enable custom edits to the JSON (or make it optional)
4. Build a Standalone Mod Loader:
• Final product should:
• Skip authentication
• Inject or load the DLLs and configs
• Work reliably every time without re-downloading
• Optionally launch the game after injection
5. Automate INI Config Tweaks:
• Apply specific config.ini changes automatically as part of the launcher flow.

Skills: C++, C#, Java, Python, Assembly Language, Reverse Engineering, Machine Learning, R, Data Science, MATLAB, Deep Learning, IBM SPSS, Algorithms, Excel Macros, C

Description:
I am looking for a detail-oriented researcher or data analyst to compile a comprehensive list of companies that have consistently remained listed on the following stock indices in every quarterly period from 2014 to 2024:

FTSE 100

FTSE 250

Nikkei 225

S&P/ASX 200

Euro Stoxx 50

NYSE

NASDAQ

Shanghai Composite

MSCI Emerging Markets Index

Deliverables:

A spreadsheet or database showing the companies that have appeared in every quarterly listing of each index between Q1 2014 and Q1 2024.

Each index should have its own tab or section.

Include basic company details (e.g., name, ticker, country, sector).

Skills: Data Cleaning, Data Mining, Data Entry, Lead Generation, List Building, Online Research, LinkedIn, Data Science, Google Sheets, Data Scraping, Email Marketing, Prospect List, B2B Lead Generation, LinkedIn Lead Generation, Contact List

We are seeking talented machine learning and automation experts, as well as MCP specialists, to support various projects across our companies. Ideal candidates should have a strong background in developing and implementing machine learning models, automating workflows, and showcasing proficiency in Microsoft platforms. We value innovative solutions and a proactive approach to problem-solving. If you possess the skills to drive efficiency and harness the power of automation, we want to hear from you!

Skills: Python, Machine Learning, Artificial Intelligence, Data Science, Data Analysis

We are seeking a skilled machine learning expert proficient in Python to assist with a short-term project. The ideal candidate should have experience working with Jupyter Notebooks and be able to implement machine learning models effectively. You will collaborate closely with our team to develop and fine-tune algorithms, analyze data, and derive insights. If you are passionate about machine learning and have a solid understanding of Python programming, we would love to hear from you!

Skills: Python, Machine Learning, Data Science, TensorFlow, Data Analysis

I am looking for an analyst on a part-time or full-time basis who can work many hours a week depending on availability and skillset (any time zone is fine)

You will be required to log on remotely to complete certain tasks. Time tracking is required.

MUST HAVE HIGH-SPEED INTERNET CONNECTION and at least 16GB Of RAM on the computer. Microsoft PowerBI installed

MUST BE WILLING TO VALIDATE WORK, it is not enough to write a formula and hope for the best

Looking for an experienced business analyst
Examples of tasks:
-Create report from SQL DB (MySQL, SQL Server, Oracle, Snowflake)
-Finding insights and drawing conclusions
-Formatting (visually appealing)
-Data modeling (different cardinalities)
-Use DAX to create dynamic models
-Asking questions, figuring out answers to problems by being proactive



NOT LOOKING FOR A DEVELOPER who JUST FOLLOWS ORDERS looking for someone who can provide solutions and ASK QUESTIONS.


40% of the time is spent analyzing data. It is not enough to create a measure or show a chart must dig into the data. What is the data telling us? these fields are blank is this ok? so many nulls is this right? etc.

40% asking the right questions in order to comprehend and create the business intelligence report. being innovative and condensing disparate pieces of data into actionable insights or succinct reports for senior executives. Proficient with PowerBI, Mcode, and DAX

20 % documentation to help translate business requirements to technical requirements

-Use current and emerging Statistics, Machine Learning and Data Science methods
Innovate new analytic solutions that serve unmet customer needs
communicate analytical results clearly and succinctly-
-Work closely with me to make value-added analytical services available to stakeholders
-Be creative, collaborative in nature, and a self-starter

Must have:
PowerBI
SQL

Skills: SQL, Snowflake, Microsoft Power BI, Data Analysis, Data Visualization, Machine Learning, Salesforce, Finance, Microsoft SQL Server, Data Modeling, Business Intelligence, Microsoft Power BI Data Visualization, Alteryx, Inc.

Senior Machine Learning Engineer (with MLOps Expertise)
The Opportunity
We seek a hands-on Senior Machine Learning Engineer passionate about solving real-world problems using data, algorithms, and well-engineered systems. You will build and deploy cutting-edge ML models to power high-impact healthcare applications, from predictive analytics to intelligent decision support.
This role is ideal for someone who is skilled at building robust, highly scalable, and cost-efficient ML systems in production and is familiar with ML concepts such as data prep, feature engineering, training, and evaluation.
You’ll work closely with data scientists and product teams and help manage the entire ML lifecycle—from idea to production.
Key Responsibilities
Build reliable, scalable, and reproducible ML pipelines using Python, PySpark, SQL, and orchestration tools like Airflow ( AWS MWAA).
Productionize and deploy machine learning models to solve complex problems across healthcare use cases.
Collaborate with MLOps and software engineers to set up the automated deployment of the models to production using containerization and CI/CD pipelines (Docker, ECS/Kubernetes).
Collaborate with the research team to transform the ideas into a ready-to-operations product.
Implement automated data/model monitoring, logging, and retraining workflows to maintain model performance and address drift.
Work with AWS cloud services (e.g., S3, SageMaker, Lambda, Athena) to train and serve models efficiently.
Integrate models with real-time and batch data sources via APIs or data pipelines.
Write clean, modular, well-documented code, contributing to code reviews and system design discussions.
Stay current on research trends and emerging ML, LLMOps, and production-scale AI tools.


What You Bring
5+ years of experience in applied machine learning and data science, including building and deploying production ML models.
Strong programming skills in Python (Pandas, PySpark, LightGBM, PyTorch, HuggingFace, etc.) and SQL.
Experience with model development, evaluation, and deployment in real-world production environments.
Proficiency with ML workflow orchestration tools like Airflow is a must.
Experience with any data/ML-focused orchestration tool such as Prefect, Dagster, Kubeflow, Metaflow, Pachyderm, or Flyte would be a plus.
Solid understanding of cloud infrastructure (AWS) for ML, including S3, SageMaker, ECS, and Step Functions.
Experience with Docker and optionally Kubernetes/ECS for packaging and deploying models.
Familiarity with CI/CD for ML (e.g., CircleCI, MLflow, model versioning, testing, and automation).
Bonus: Experience working with time series or NLP/LLMs in production.
Comfortable working in fast-paced, cross-functional teams with a product mindset.
Excellent written and verbal communication skills.



Daily Breakdown

40% Automation of the company’s ML ecosystem
30% Deployment, Monitoring
30% Collaboration & Architecture Discussions

Skills: Python, Machine Learning

This article is published on Wikipedia, so applicants are expected to have experience writing Wikipedia articles.
Project description: Seeking an experienced audio engineer to assist in writing technical documentation on microphone sampling rate parameters, including the basics of sampling rate, the impact of different settings on sound quality, and best practices in various application scenarios. ​

Target audience: Audio technology enthusiasts, podcast producers, recording engineers, etc. ​

Style/tone: Professional and easy to understand, suitable for readers with a certain technical background but not professionals.

Skills: Machine Learning, Statistics, Data Science

We are seeking a highly skilled AI/ML Expert to lead and support the design, development, and implementation of an AI-driven product. This role requires deep technical expertise in artificial intelligence, machine learning, and data science, combined with strong problem-solving capabilities and a product-oriented mindset. The ideal candidate will collaborate with cross-functional teams to architect scalable, intelligent solutions that transform data into actionable insights and automation.

Key Responsibilities:

Design, develop, and deploy AI and ML models that directly support product functionality and business goals.

Lead the data collection, preprocessing, analysis, and modeling workflows.

Collaborate with product managers, software engineers, and domain experts to integrate AI capabilities into the product lifecycle.

Evaluate and select appropriate ML algorithms, tools, and frameworks based on performance, scalability, and explainability.

Conduct experiments, A/B testing, and validation to improve model performance and reliability.

Ensure ethical AI practices and model transparency, with a focus on fairness, accountability, and bias mitigation.

Continuously research and stay up to date with emerging AI/ML trends, technologies, and best practices.

Required Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field (Ph.D. preferred).

5+ years of hands-on experience in AI/ML research or applied AI product development.

Proficiency in Python and common ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face, XGBoost).

Strong understanding of supervised, unsupervised, and reinforcement learning techniques.

Experience with data engineering, model deployment, and MLOps pipelines.

Proven ability to translate business problems into AI solutions.

Excellent communication and collaboration skills.

Preferred Qualifications:

Experience with NLP, computer vision, or generative AI models (e.g., LLMs, GANs).

Familiarity with cloud platforms (AWS, Azure, GCP) and containerized deployment (Docker, Kubernetes).

Background in developing AI products for government, defense, or regulated industries.

Security clearance (or ability to obtain one), if required by project.

Skills: Python, Azure Machine Learning, Artificial Intelligence, Machine Learning, Data Science, AWS Cloud9, Azure DevOps

I'm building a viral tweet generation app that can automatically generate tweets and run A/B tests to predict which version is more likely to go viral.

I’m looking for someone to help me build a highly accurate AI model that can:

1. Predict the performance of a tweet before it's posted

2. Estimate key engagement metrics like likes, retweets, comments, and shares

3. Support A/B testing between different tweet versions (including AI-generated ones) to identify the best-performing option

Skills: Python, Machine Learning, Data Science, Deep Learning, PyTorch, Natural Language Processing, Neural Network

An experienced skilled commission based sales representative that is able to reach out to businesses in the health and fitness industry and retailers to sell our products.

Skills: Pipedrive, Outbound Sales, Sales Management, Marketing, Sales, Cold Calling, Live Consultation, Data Science Consultation, Consultation Session, CRM Software, SaaS Development, SaaS, Appointment Setting, Appointment Scheduling, Customer Relationship Management

The list of 200 companies will be sent to you, and you will send back the list of job postings to me.

Job postings should concern math, software tools, coding, data science, data analyst, and machine learning. Possible job titles include software engineer, Technical staff, research assistant, machine learning, and data analyst.

The skills required for this are web research of suitable job postings and data entry of job posting links into a list.

This list might have 500 job postings when completed.

Skills: List Building, Data Entry, Company Research

We are looking for a highly skilled **Generative AI / Machine Learning expert** to help develop and test a **real-time routing and scheduling algorithm** for **ADA paratransit and microtransit services**. This project combines traditional optimization with **AI-driven modeling** to simulate and improve demand-responsive transportation systems.

Your work will directly impact transit equity by improving mobility options for individuals with disabilities and those in underserved areas.

---

**You’ll Help Us:**
- Build and test ML-based routing models that simulate real-world constraints
- Apply generative or deep learning models to simulate demand, optimize dispatch, or predict ride clustering, peak demand.
- Use real datasets with trip details, vehicle availability, and accessibility needs
- Connect to and update and improve newly created existing frontend simulations to visualize outcomes (Gantt, map-based routing, etc.)
- Evaluate efficiency metrics: % shared, Trips per hour, max ride time, wait time, utilization, etc.
- Collaborate with our internal developers integrating with GOIN.org dispatch software

---

**Ideal Experience:**
- Generative AI, Deep Learning (PyTorch, TensorFlow, etc.)
- Routing, dispatch, or vehicle scheduling algorithms (OR-Tools, OptaPlanner, jsprit)
- Python for modeling and simulations
- Experience with Dial-a-Ride, NEMT, paratransit, or microtransit
- Familiarity with ADA requirements and GTFS and GTFS-Flex (a plus)
- Reinforcement learning or real-time optimization (bonus!)

---
**Engagement Details:**
- **Timeline:** 4–8 weeks
- **Hours/week:** 30–40 (we need full-time focus!)
- **Start:** ASAP
- **Type:** Short-term, contract-based
- **Timezone:** Flexible, but some Pacific Time overlap needed

---

**To Apply, Please Include:**
1. Your background in AI-based optimization or mobility/transport systems
2. Example of a routing, ML, or simulation project you've built (code or demo)
3. Your availability (hours/week, timezone)
4. Your favorite ML-based optimization trick or algorithm 😄

Skills: Machine Learning, Deep Learning, Artificial Intelligence, Python, Data Analysis, Data Science, Neural Network, JavaScript

We are seeking a skilled Machine Learning Developer with expertise in ComfyUI and Runpod to join our team. The ideal candidate will be responsible for developing and deploying machine learning models, optimizing user interfaces for seamless interaction, and ensuring efficient performance on Runpod. If you have experience working with these technologies and a knack for problem-solving, we would love to hear from you. Please include examples of your past work and any relevant projects.

Skills: Machine Learning, Python, Artificial Intelligence, Deep Learning, Data Science, Docker, REST API, Stable Diffusion

Here’s a structured approach for your Traffic Prediction Model using pandas, seaborn, and scikit-learn:

1. Data Inspection & Cleaning

import pandas as pd

# Load dataset
df = pd.read_csv("traffic_data.csv")

# Inspect dataset
print(df.info()) # Check data types
print(df.describe()) # Summary statistics
print(df.isnull().sum()) # Check for missing values

# Handle missing values (example: filling with median values)
df.fillna(df.median(), inplace=True)

# Check for duplicate rows
df.drop_duplicates(inplace=True)
2. Data Visualization

import seaborn as sns
import matplotlib.pyplot as plt

# Traffic distribution over time
df["timestamp"] = pd.to_datetime(df["timestamp"]) # Ensure datetime format
df.set_index("timestamp", inplace=True)
df["traffic"].plot(figsize=(12,6), title="Traffic Flow Over Time")
plt.show()

# Correlation heatmap
sns.heatmap(df.corr(), annot=True, cmap="coolwarm")
plt.show()
3. Train-Test Split & Scaling

from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler

# Select features and target variable
X = df.drop("traffic", axis=1) # Assuming 'traffic' is the target variable
y = df["traffic"]

# Scale numerical features (important for models like SVM, Neural Networks)
scaler = StandardScaler()
X_scaled = scaler.fit_transform(X)

# Split data
X_train, X_test, y_train, y_test = train_test_split(X_scaled, y, test_size=0.2, random_state=42)
4. Model Training (Random Forest for Regression)

from sklearn.ensemble import RandomForestRegressor
from sklearn.metrics import mean_absolute_error, mean_squared_error

# Initialize and train model
rf = RandomForestRegressor(n_estimators=100, random_state=42)
rf.fit(X_train, y_train)

# Predictions
y_pred = rf.predict(X_test)

# Model Evaluation
mae = mean_absolute_error(y_test, y_pred)
mse = mean_squared_error(y_test, y_pred)
print(f"MAE: {mae:.2f}, MSE: {mse:.2f}")
5. Confusion Matrix (For Classification-Based Traffic Levels)
If predicting traffic levels (e.g., Low, Medium, High), use a classification model:


from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import confusion_matrix

# Convert traffic volume to categories
df["traffic_level"] = pd.cut(df["traffic"], bins=[0, 50, 100, 200], labels=["Low", "Medium", "High"])

# Encode categorical labels
from sklearn.preprocessing import LabelEncoder
le = LabelEncoder()
df["traffic_level"] = le.fit_transform(df["traffic_level"])

# Train model again with traffic levels
X = df.drop(["traffic", "traffic_level"], axis=1)
y = df["traffic_level"]

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

rf_classifier = RandomForestClassifier(n_estimators=100, random_state=42)
rf_classifier.fit(X_train, y_train)

y_pred_class = rf_classifier.predict(X_test)

# Confusion Matrix
cm = confusion_matrix(y_test, y_pred_class)
sns.heatmap(cm, annot=True, fmt="d", cmap="Blues")
plt.xlabel("Predicted")
plt.ylabel("Actual")
plt.show()
6. Accuracy Improvement
Feature Engineering: Use weather data, time of day, day of the week, special events, etc.

Hyperparameter Tuning: Use GridSearchCV or RandomizedSearchCV for optimization.

Time Series Models: Try LSTMs or ARIMA for better performance on time-based predictions.

Increase Data: More historical data can improve generalization.

Would you like a time series approach (LSTM, ARIMA) or a classification-based traffic prediction?

Skills: Python, Data Mining, Big Data Sales, Analytics, Data Science

We are seeking a highly motivated and skilled Data Analyst with expertise in Odoo systems to join our dynamic team in Dubai. As a Data Analyst, you will play a crucial role in optimizing our tire trading operations by automating data processes within Odoo and providing insightful analysis of supplier and client offers. Your primary responsibility will be to analyze pricing data to identify the best possible matches, contributing directly to our profitability and efficiency.

Responsibilities:
* Odoo System Management:
* Utilize and maintain our Odoo ERP system, specifically focusing on data entry, management, and automation functionalities.
* Develop and implement automated workflows within Odoo to streamline data collection and insertion processes related to supplier and client offers.
* Ensure data integrity and accuracy within the Odoo system.
* Troubleshoot and resolve any data-related issues within Odoo.
* Data Analysis & Reporting:
* Collect and compile data on tire trading offers from various suppliers and clients.
* Analyze large datasets to identify pricing trends, patterns, and discrepancies.
* Develop and maintain reports and dashboards to visualize key pricing metrics and analysis results.
* Interpret data and provide actionable insights to the trading team to support optimal price matching and negotiation strategies.
* Identify opportunities for process improvement and optimization based on data analysis.
* Price Matching & Optimization:
* Analyze and compare supplier pricing with client requirements to identify the most profitable and competitive price matches.
* Develop methodologies and tools within Odoo to automate and enhance the price matching process.
* Evaluate the impact of pricing decisions on profitability and market competitiveness.
* Collaborate with the trading team to understand their data needs and provide tailored analysis to support deal closures.
* Collaboration:
* Work closely with the trading, sales, and procurement teams to understand data requirements and ensure data accuracy.
* Communicate findings and recommendations clearly and effectively to both technical and non-technical stakeholders.
* Participate in cross-functional projects related to data management and system improvements.
Qualifications:
* Bachelor's degree in Data Science, Statistics, Economics, Finance, Information Technology, or a related field.
* Proven experience as a Data Analyst, preferably within a trading or sales environment.
* Strong proficiency in Odoo ERP system is essential, including experience with data entry, reporting, and automation tools within Odoo.
* Excellent analytical and problem-solving skills with the ability to interpret complex datasets.
* Strong skills in data manipulation and analysis using tools such as Excel, SQL, or other data analysis software.
* Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
* Familiarity with the tire trading industry or similar trading environments is advantageous.
* Excellent communication and presentation skills, with the ability to convey technical findings to a non-technical audience.
* Detail-oriented with a strong focus on accuracy and data integrity.
* Ability to work independently and as part of a team in a fast-paced environment.
Preferred Qualifications:
* Experience in automating processes within Odoo using tools like Odoo Studio or custom modules.
* Knowledge of Python or other scripting languages for data manipulation and automation.
* Understanding of database management principles.

Please highlight your experience with Odoo and your data analysis skills in the context of trading or sales operations.

Skills: Python, Software Architecture, ERP, PostgreSQL

I'm looking for a thorough primary and secondary research project focused on the Human Resources sector. The project will involve collecting both qualitative and quantitative data from academic journals and analyzing it in a data-driven write-up.

Key Requirements:
- Data Collection: Both primary and secondary sources need to be tapped.
- Data Analysis: A comprehensive analysis of the data is needed.
- Write-up: A data-driven write-up that includes all sources.
- Visuals: Graphs and other visual representations of the data.
- Industry-wise and Company-wise Analysis: A detailed breakdown of the Human Resources sector at both the industry and company level.

Ideal Skills:
- Proficiency in both qualitative and quantitative research methods.
- Strong analytical skills.
- Excellent writing skills, particularly in creating data-driven narratives.
- Ability to create clear and informative visual representations of data.
- Familiarity with the Human Resources sector.

Freelancers with a strong background in research and data analysis, particularly within the HR sector, are encouraged to apply.

Primary and Secondary research for Data Collection
Data Analysis
Data Driven writeup with sources mentioned
Graphs for visual representation
Industry wise Analysis
Company wise Analysis
7000+ words
Detailed Literature Review
Detailed Hypothesis Analysis and Discussion

Skills: Research, Report Writing, Research Writing, Statistical Analysis, Data Science

Hi,

We are looking for an AI developer to deploy this (https://tinyurl.com/e2afs4wj) simple open-source project on any fee cloud service, for a demo purpose. The initial step is to run the project locally, followed by deployment to the cloud.

If you believe you're a good fit for this task, we’d love to hear from you.

Best,

Skills: Artificial Intelligence, Machine Learning, Python, Data Science, Natural Language Processing, Deep Learning