Data Science Projects for Freelancers

We are seeking an experienced data analyst to analyze our dataset using R programming. The project requires generating five distinct modern types of visualizations using power Bi that effectively communicate insights derived from the data. The ideal candidate should possess a strong background in data analysis and visualization techniques. You will work collaboratively to ensure that the visualizations meet our standards and provide valuable insights. If you have a flair for transforming data into compelling visuals, we want to hear from you!

Skills: R, Data Analysis, Statistics, Data Visualization, Data Science

WORDPRESS + OPEN AI + CONTENT DEVELOPMENT + TECHNICAL SEO + OFF-PAGE LINK BUILD - AUTOMATION CONTENT CREATION AND POSTING VIA AI AGENTS

MUST PROVIDE COST EFFECTIVE SOLUTION RECOMMENDATION FOR INFRASTRUCTION AND USE OF AI MODELS.

IDEAL CANDIDATE IS AN SEO EXPERT WITH SIGNIFICANT SOFTWARE DEVELOPMENT BACKGROUND.

We are seeking a highly skilled SEO Expert (minimum 5 years experience) and WordPress Design & Blog Expert (minimum 5 years experience) who has a strong foundation in AI automation and machine learning, along with extensive experience in WordPress. The ideal candidate should be proficient in both on-page and off-page SEO techniques, link building strategies, and API integrations. If you have a passion for optimizing web content and leveraging advanced technologies to drive organic traffic, we want to hear from you!

Skills: Python, Machine Learning, Artificial Intelligence, Data Science, TensorFlow, WordPress, Plugin Development, Content Writing

Hi Yuri,

Hi, I'm part of a team that builds automated strategies on higher time frames. We're now exploring intraday algos, mainly in futures. Not looking to hire hourly—just want to hop on a quick call to see legit past work and projects. Open to buying proven systems if there's a fit. Let me know if you're open to a chat.

Best,
Will Spence

Skills: Data Analysis, Python, Data Science, Machine Learning, Quantitative Analysis, Automation, Scripting, Investment Strategy, Cryptocurrency, Deep Learning, Forex Trading, Bot Development, Quantitative Finance, Trading Automation

We need a skilled developer to design and implement short-term automation workflows using Python and n8n. Focus areas include integrating AI tools (e.g., NLP, chatbots) into workflows, automating data processing, and connecting APIs.

Key Responsibilities:

Develop lightweight AI-driven automation scripts in Python.

Build and optimize n8n workflows for tasks like data scraping, notifications, or CRM updates.

Integrate AI APIs (e.g., OpenAI, Hugging Face) into existing systems.

Troubleshoot and refine automation processes for efficiency.

Requirements:

Proficiency in Python and experience with n8n (or similar tools like Zapier/Make).

Basic understanding of AI/ML concepts and API integrations.

Ability to deliver quick, scalable solutions (e.g., 2–5 hour projects).

Nice to Have:

Familiarity with cloud services (AWS, Google Cloud).

Experience with chatbots or RPA tools.

Project Scope:

Short-term, freelance/contract role.

Example tasks: Automate email responses with AI, sync data between apps, or create a custom n8n node.

Skills: Data Science, Machine Learning, TensorFlow, Natural Language Processing, Artificial Intelligence, Deep Learning, Artificial Neural Network, Python, API, Automation

Seeking a developer proficient in OpenAI APIs, GPT models, and prompt engineering to build an AI-powered assistant within our web application. Experience with LangChain, FastAPI, or Python is advantageous. Responsibilities include ensuring secure API integration and scalable deployment.

Application Requirements:
• Links to previous AI chatbot or GPT-powered projects
• GitHub profile showcasing relevant work

Skills: Artificial Intelligence, Python, Machine Learning, TensorFlow, Natural Language Processing, Artificial Neural Network, Deep Learning, Data Science, Neural Network, Amazon Web Services

About Autograph
Autograph is transforming the automotive industry with cutting-edge data, reporting, and AI solutions. Backed by North America's top dealer groups, we empower businesses with actionable insights to drive success.

The Role
We’re looking for a sharp, detail-oriented Contract Data Analyst to help our clients make smarter, faster marketing decisions. You'll dig into web and marketing data to uncover trends, highlight opportunities, and translate complex metrics into clear, actionable insights that dealership executives can understand and act on.

What You’ll Do
Analyze Web & Marketing Performance:
Dive into GA4 and website interaction data to monitor traffic trends, identify high/low-performing pages, and flag issues (e.g., sharp drops in leads).

Evaluate paid media campaigns across Meta, Google Ads, Bing Ads, and third-party marketplaces to assess ROI and lead efficiency.

Generate Actionable Insights:
Identify opportunities to adjust budgets, landing pages, or inventory promotions based on lead performance and vehicle interest.

Connect trends across different datasets — e.g., match web demand with inventory stock, or link campaign performance to actual vehicle sales outcomes.

Proactively Flag Problems & Opportunities:
Surface early indicators of performance drops — e.g., underperforming campaigns, lead volume shifts, or overstocked vehicles with low visibility.

Help customers answer key business questions like: “Why did my leads drop last week?” or “What vehicles are selling despite low ad spend?”

Summarize Findings Clearly:
Turn complex data into simple, digestible summaries for executives and marketing managers.

Support client reporting workflows with visuals, charts, and commentary that make sense to non-technical audiences.

What We’re Looking For
2–4 years of experience in a marketing or web analytics role, ideally supporting multiple brands or clients.

Comfortable using GA4, and familiar with paid media platforms like Meta Ads, Google Ads, and Bing.

Experience working across multiple datasets and thinking critically across systems (e.g., traffic + leads + sales + inventory).

Comfortable collaborating with data engineers and using BI tools like Tableau, Power BI, or similar platforms.

SQL experience is a plus but not required — we care more about your analytical thinking than your coding skills.

Automotive or retail analytics experience is a bonus, but not required.

Skills: Data Science, Marketing Analytics, Operations Analytics, Data Analytics, Data Analysis, Data Science Consultation, Data Mining, Google Analytics

As we discussed during the chat, generate formulas from amortization schedule.

Skills: Python, Tableau, Microsoft Power BI, Microsoft Excel, Data Analytics, Data Science, SQL, A/B Testing, Growth Analytics, Machine Learning, Product Management, Jira, Presentation Design, AI Consulting, Optimization Modeling

I need an AI/ML engineer to help us fine-tune or prompt-tune a Large Language Model on a domain-specific dataset (~5K legal/compliance records). The goal is to build a lean, RAG-ready pipeline that can extract legal clauses, detect anomalies, and generate concise summaries.

This is a proof-of-concept project, but if successful, will evolve into a larger engagement (retrieval integration, chatbot interface, vector DB, etc.).

Skills: Python, Machine Learning, Data Science, TensorFlow, Data Analysis, Microsoft Excel, Deep Learning, Data Mining, Data Scraping, Natural Language Processing

I'm looking for a long-term team member that can help us manage our data to identify core problems in our business, implement improvements to our processes, and create infrastructure where it's currently lacking.

I run a cold email outreach agency and we specialize in link building. We send a lot of emails, and therefore there is a lot of data to be analyzed and evaluated to help us better improve our business.

A lot of data analysts are good at making data more easily accessible. And that's great, but I'm looking for someone that enjoys using data to find actionable solutions that drive business results.

In the past, I've used a variety of different people to help us with our data. I've hired people to help us manage our many Google Sheets. I've hired people to prepare dashboards with Looker Studio. We also have used KNIME to build out core business processes that we still use today.

I'm looking for someone that can be more holistic with our data management, rather than using a variety of different contractors for different things. It would be great to have a long-term team member that can help us create better infrastructure and tracking for our business overall and that can truly understand our business beginning-to-end.

While a lot of the responsibilities I'll be looking for this person to manage deal with email management and email deliverability, experience isn't necessary. A strong data background will help you pick up the necessary concepts fairly easy. Just a heads up as I want to understand your background and if you do have any relevant experience.

If you are interested, please apply and answer the following questions for me:

1) What relevant experience do you have (if any) with Looker Studio, Knime, Pitchbox, and Google Sheets?

2) Can you share any examples of times when you've analyzed data and that led to making specific data-informed recommendations?

3) Do you have any examples of dashboards you've created in the past?

4) Please explain if you have any relevant experience or understanding of email deliverability?

Thanks!

Skills: Google Sheets, Data Visualization, Looker Studio, Data Analysis, Data Analytics, Data Analysis Consultation, Microsoft Excel, Data Science, Statistics, KNIME

As we discussed during the chat, generate formulas from amortization schedule.

Skills: Python, Tableau, Microsoft Power BI, Microsoft Excel, Data Analytics, Data Science, SQL, A/B Testing, Growth Analytics, Machine Learning, Product Management, Jira, Presentation Design, AI Consulting, Optimization Modeling

We are seeking a skilled translator to convert vetted Data Science case studies into Japanese for academic publication. The ideal candidate will have a strong understanding of both Data Science concepts and academic language. This role requires precision and attention to detail to ensure the translated material maintains its original meaning and context. If you have a passion for language and a background in Data Science, we would love to hear from you!

Skills: English, Japanese, Proofreading, Content Writing, Writing

We're looking for a tech-savvy problem solver to build smart automations that combine Python scripting with low-code platforms (Zapier/Make/n8n). You'll create time-saving workflows, integrate AI capabilities, and connect business applications with minimal manual intervention.

What You'll Do:
* Design automated workflows using Zapier, Make, or n8n
* Write Python scripts for data processing and AI tasks (NLP, chatbots, etc.)
* Connect APIs and troubleshoot integration issues
* Implement AI tools like OpenAI, Hugging Face into business processes
* Optimize existing automations for speed and reliability

Skills We Need:
✓ Strong Python programming skills
✓ Hands-on experience with Zapier, Make, and/or n8n
✓ Understanding of API integrations (REST, webhooks)
✓ Familiarity with AI/ML concepts and tools
✓ Ability to simplify complex processes

Bonus Points For:
* Experience with RPA tools (UiPath, Automation Anywhere)
* Knowledge of cloud services (AWS, GCP)
* Previous chatbot development

Skills: Data Science, C++, Deep Learning, TensorFlow, Python, Automation, JavaScript, Machine Learning, Artificial Intelligence, API

Develop a SaaS platform using Node.js and React.js that integrates AI (such as Google Gemini, OpenAI, or custom models) to predict and automate maintenance schedules for industrial equipment and machinery. The application will leverage sensor data from equipment to predict machine failure, automate maintenance workflows, and optimize operational efficiency.

Key Features & Functionalities
1. User Management & Authentication
Sign Up/Login: Secure user authentication via JWT or OAuth2 for email and social login (Google, LinkedIn, etc.).

Roles & Permissions: Manage user roles (Admin, Maintenance Technician, Viewer) with role-based access using middleware in Node.js.

Dashboard Access: Upon logging in, users will be directed to their respective dashboards based on permissions, providing data insights and maintenance tasks.

2. AI Integration (Google Gemini or Similar)
AI-Powered Predictions: Use Google Gemini, OpenAI, or a custom TensorFlow.js model to predict potential machine failures based on historical and real-time sensor data (e.g., temperature, vibration, pressure).

Example: The AI engine predicts that Machine A will likely need maintenance in the next 48 hours based on abnormal sensor readings.

Real-Time Anomaly Detection: AI will continuously monitor equipment performance and flag anomalies in real time, such as unusual vibrations or temperatures.

Example: The system detects abnormal vibrations in a motor and triggers an alert for potential maintenance needs.

3. Data Integration & Management
Sensor Data Collection: Integrate IoT devices to pull real-time data into the platform, using REST APIs or WebSockets for low-latency communication.

Database: Use MongoDB for unstructured sensor data and PostgreSQL for structured data (equipment history, maintenance logs).

API Integration: Integrate with external systems (e.g., ERP, CMMS) using RESTful APIs to fetch additional equipment data and generate maintenance logs.

4. Predictive Maintenance Engine
AI Models: Integrate AI models via Node.js backend using TensorFlow.js or OpenAI’s GPT models. The model will use historical data, sensor inputs, and environmental conditions to forecast failures.

Failure Prediction: Use machine learning to predict equipment failures, e.g., "Motor A is likely to fail in the next 72 hours based on historical failure trends."

Maintenance Task Automation: Based on AI predictions, generate maintenance tasks with urgency levels. Tasks are automatically assigned to users or teams based on availability and expertise.

5. Workflow Automation & Task Scheduling
Automated Notifications: Use Node.js to send notifications (via email, SMS, or in-app messages) for upcoming maintenance tasks, new anomalies detected, or equipment failures.

Task Scheduler: Create a scheduling system that assigns tasks automatically based on the priority set by the AI and team availability.

Example: “Preventive maintenance for Machine A is scheduled for April 30th, 2025, based on AI predictions.”

6. Technician Workflow Management
Task Assignment: Maintenance tasks are created automatically and assigned to the relevant technician based on predefined rules or availability.

Example: Maintenance tasks for motor repairs are assigned to the most experienced technician in that area.

Real-Time Collaboration: Technicians can update task progress, log actions taken, and mark tasks as completed using the platform’s messaging system and status updates.

7. Monitoring Dashboard (React.js)
Interactive UI: Developed using React.js, the dashboard will display real-time metrics, including:

Equipment health scores (color-coded for easy identification).

Upcoming maintenance schedules with critical alerts.

AI-driven predictive analytics showing probability graphs for equipment failure.

Trending issues based on sensor data and AI anomaly detection.

Equipment Insights: Drill-down capabilities to see individual machine data, historical maintenance logs, and sensor analytics.

Admin Dashboard: Admins can monitor all users, equipment, and machine health, ensuring seamless operations.

8. Reporting & Analytics
Custom Reports: Users can generate reports using data insights and AI predictions. Reports can include:

Downtime analysis and maintenance cost breakdowns.

Machine failure predictions and historical accuracy of AI models.

Export Options: Allow exporting of reports in PDF, Excel, and CSV formats.

9. Security & Compliance
Role-Based Security: Use JWT or OAuth2 for secure access control. Roles (Admin, Manager, Technician) will have different access levels to sensitive data.

Audit Trails: Keep a detailed log of all user actions (e.g., equipment serviced, reports generated, tasks completed) for auditing and compliance purposes.

Technical Stack
Frontend:

React.js for building a dynamic, single-page application.

Redux for state management across large datasets.

Material-UI or Ant Design for responsive UI components and theming.

Backend:

Node.js for creating a scalable backend that can handle real-time data and AI processing.

Express.js to build RESTful APIs for interacting with the frontend and handling requests (e.g., creating maintenance tasks, fetching AI predictions).

Socket.IO or WebSockets for real-time communication (e.g., receiving real-time data from IoT sensors or sending alerts to technicians).

AI Integration:

TensorFlow.js for on-the-fly machine learning model execution within the browser (if using the AI directly on the client side).

Google Gemini or OpenAI GPT for more advanced natural language processing or prediction capabilities on the backend.

Python (optional): If more advanced AI model training is required, a Python-based server can be used for model training, and then APIs can be set up to communicate with Node.js.

Database:

MongoDB for storing sensor data and equipment states (real-time data).

PostgreSQL for structured data storage (user details, maintenance logs, historical predictions).

Redis for caching frequent queries and enhancing application performance.

Skills: Web Application, AI App Development, Machine Learning, Python, Data Science, TensorFlow, Artificial Intelligence

We are seeking a skilled data scientist to analyze our customer data, ensuring it is clean and ready for analysis. The ideal candidate will perform cluster analysis to identify customer segments and conduct basic causal analysis to uncover insights. Proficiency in Python is essential for manipulating and analyzing the data effectively. If you have a strong analytical mindset and experience in data science, we would love to hear from you.

Skills: Data Analysis, Data Science, Statistics, R, Python

Objective:
Improve the accuracy and reliability of machine learning models used for estimating residential property market values.

Current Issues Identified:
- High prediction errors, especially for properties at the low and high ends of the value spectrum.
- Limited feature engineering and insufficient model tuning in existing proof-of-concept models.

Key Needs:
- Feature Engineering:
---- Enhance current features and create new meaningful variables.
---- Incorporate spatial, structural, and proximity-based indicators more effectively.

Model Refinement:
- Apply rigorous feature selection to improve signal-to-noise ratio.
- Perform hyperparameter tuning to improve generalization and robustness.

Evaluation & Compliance:
- Assess models using both traditional ML metrics (R², MAE, MAPE, RMSE) and IAAO standards (PRB, PRD, COD).
- Emphasize fairness, uniformity, and low bias across value segments.

Explainability:
- Use tools like SHAP or LIME to ensure the models are interpretable and transparent for stakeholders.

Expected Outcome:
- A robust, accurate, and explainable ML model better than the existing models that meets both technical and regulatory standards.

Skills: Machine Learning, Python, Data Science

Client Success & Delivery Manager (Part-Time Contract, Potential Full-Time)
Location: Remote (Preference for candidates based in the Kansas City Metro Area / Overland Park, KS)
Employment Type: Part-Time Contractor (with potential to transition to Full-Time Employment)

About Our Company

Our company specialize in delivering cutting-edge technology and data science consulting solutions. We help our clients solve complex challenges through advanced integrations, software development, AI solutions, and data strategy. As our business grows, we’re seeking a talented Client Success & Delivery Manager to help ensure client success, project excellence, and the development of long-term partnerships.

Position Summary
The Client Success & Delivery Manager will serve as the primary liaison between our company and its clients after deal closure. You will oversee project delivery, manage client relationships, respond to inquiries, and identify opportunities for account growth. This role will start as a part-time contract position, with the opportunity to transition to a full-time role and eventually work from our Kansas City Metro office. Occasional travel may be required based on client or project needs.

Key Responsibilities
Client Relationship & Success

Act as the primary point of contact for assigned clients post-sale.

Develop a deep understanding of each client’s business objectives and technical needs.

Address client questions and requests promptly and professionally.

Project Delivery Management

Oversee the planning, execution, and delivery of client projects.

Coordinate between clients and internal/external project teams.

Track project timelines, deliverables, and outcomes.

Proactively address potential challenges or delays.

Account Growth & Opportunity Development

Monitor project success metrics and client satisfaction.

Identify new business opportunities within client accounts.

Facilitate follow-on projects, upsells, or expansions when appropriate.

Reporting & Communication

Provide regular updates to clients and internal leadership.

Document key client insights and project learnings.

Qualifications
3+ years in client success, customer success, project management, or account management (experience in technology or data science consulting is a strong plus).

Excellent communication and relationship management skills.

Strong organizational and problem-solving abilities.

Experience managing multiple projects and cross-functional teams.

PMP or other project management certifications are a plus but not required.

Comfortable working independently in a remote environment.

Preference for candidates located in the Kansas City Metro Area (Overland Park, KS preferred).

Willingness to transition to office-based work within one year.

Availability for occasional travel as required.

Must be authorized to work in the United States.

What We Offer
Flexible, remote-first work arrangement initially.

Competitive hourly rate (to be discussed based on experience).

Opportunity to grow into a full-time leadership role as business scales.

A collaborative team working on innovative technology and data science solutions.

Skills: Incident Management, Technical Documentation Management, Agile Project Management, Budget Management, Jira, Time Management, Email Support, Customer Service, Communication Etiquette, Customer Satisfaction

I'm an experienced dental entrepreneur building a new AI-powered platform to help dental offices operate like DSOs—with AI agents handling scheduling, billing, marketing, HR, and analytics.

I’m looking for a highly skilled AI/Full-Stack Developer to help build the MVP and early backend architecture. The ideal candidate is familiar with OpenAI GPT-4, LangChain, and building multi-agent systems.

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

Mission
Build version one of our seller-propensity and AVM models, turning raw property data into the smartest real-estate analytics platform in the US.

About Us
We are a Seattle-area team that has closed more than five-hundred million dollars in residential deals and are now pivoting to a national data-as-a-service AI product. Unlimited budget, huge data feeds, and a greenfield codebase—help us ship the brain of the platform.

What You’ll Do in the First Six Months
• Design and own our ML stack AWS plus Python plus Snowflake or BigQuery.
• Build a feature store fed by deeds, mortgages, liens, USPS vacancy, MLS, and demographic data.
• Train and benchmark a seller-propensity model with target AUC at least zero-point-eight and an AVM with MAPE under five percent in the pilot county.
• Stand up automated pipelines Airflow or Fivetran with continuous integration, deployment, and data-quality tests.
• Present weekly demos and iterate fast with the founding CTO and product lead.

Must-Haves
• Five to ten years hands-on ML engineering experience tabular and preferably geospatial.
• Expert Python, SQL, scikit-learn, TensorFlow or PyTorch, and solid statistics.
• Cloud MLOps experience SageMaker, Vertex, or Kubeflow plus orchestration Airflow or Prefect.
• Proven delivery of end-to-end models on ten-gigabyte-plus datasets.
• Resident of Washington State and able to meet near Seattle one to two times each month.

Nice-to-Haves
• Computer-vision work on street-view or listing photos.
• Prop-tech, fintech, or ad-tech feature-engineering background.

Engagement and Compensation
Thirty to forty hours per week, three to six-month contract-to-hire. Budget eighty to one-hundred-twenty dollars per hour approximately one-hundred-sixty- to two-hundred-forty-thousand annualized plus performance bonus; equity or phantom units negotiable after MVP.

How to Stand Out

Link to a GitHub repo or notebook showing large-scale feature engineering.
Three to five bullet plan for avoiding temporal leakage in a time-series property model.
Best day and time for a thirty-minute video call PST.
Ready to help build the Bloomberg Terminal of residential real estate? Apply now!

Skills: Python, Data Science, Machine Learning

I'm looking for a teacher to help me learn Python from the ground up. I am a complete beginner, and I want to focus on both programming fundamentals and data science.

Requirements:
- Teach Python basics to advanced topics
- Special emphasis on programming fundamentals and data science
- Conduct lessons in a lecture-based, theory-oriented format

Ideal Skills and Experience:
- Strong knowledge in Python
- Experience teaching complete beginners
- Ability to explain theoretical concepts clearly

Skills: Python, MySQL

🎯 Objectives:
Build a model that outputs win probabilities (or odds) for every horse in a race

Engineer features from raw racing data (horse form, pace, class, etc.)

Backtest model performance (e.g., log loss, ROI by bucketed probabilities)

Enable easy race-by-race predictions for live or upcoming cards

🧠 Desired Skills & Experience:
Strong Python skills (Pandas, Scikit-learn, XGBoost, or LightGBM)

Feature engineering experience (especially with time-series or structured data)

Familiarity with betting models, sports odds, and probability theory

Bonus: experience with horse racing, sports betting, or pari-mutuel odds

Ability to communicate model performance in clear, practical terms

📊 Data Sources (Preferred):
Equibase, Brisnet, TimeformUS, DRF PPs (I can help with access)

Optional: betting market data (tote board, morning line, closing odds)

🛠️ Project Milestones (Example):
Initial consultation and project scoping

Data ingestion + feature extraction (speed figs, pace, trainer stats, etc.)

Model training and evaluation

Odds generation module + edge calculation

Betting strategy simulation (ROI tracking by confidence tiers)

💬 Deliverables:
Clean, documented codebase (Python preferred)

Working model that ingests race data and outputs predicted win probabilities

Simple interface or script to test daily cards

(Optional) Betting edge calculator

To Apply:
Please include:

Relevant experience (especially in betting, predictive modeling, or horse racing)

Sample projects or GitHub links

Your proposed approach or suggestions for this kind of model

Skills: XGBoost, Machine Learning, Python, Data Science, Python Scikit-Learn, Data Modeling, Artificial Intelligence, Neural Network, LightGBM

Develop AI-driven models for economic decision-making in next-gen industries

Required Skills:
AI/ML for Economics: Predictive ROI, cost-benefit optimization, computational macroeconomics. Industrial Digital Transformation: Smart manufacturing, supply chain resilience, or circular economy.
Quantitative DSS: Simulation (AnyLogic/Simul8), multi-criteria optimization, policy impact analysis.
Technical Stack: Python/R/Julia, TensorFlow/PyTorch, real-world dataset experience.


Deliverables:

AI models for industrial economic decisions (e.g., ROI forecasting, risk analysis).

Codebase + documentation.

Skills: Research Writing, Machine Learning (ML), Data Science, Economics

We are seeking a Python expert to enhance our AI-based veterinary disease diagnosis application. The goal is to optimize the app by reducing the model loading time significantly while maintaining accuracy in image and symptom analysis. The ideal candidate will have experience with machine learning, performance optimization, and app development. If you are passionate about animal health tech and can deliver efficient solutions, we would love to hear from you!

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

We are seeking an expert in remote sensing with a Master's degree or PhD to assist with projects involving UAV Lidar data and multispectral data. The ideal candidate will have a strong background in geospatial analysis, experience with remote sensing technologies, and the ability to interpret complex datasets. Your expertise will contribute to cutting-edge research and applications in environmental monitoring, agriculture, and urban planning. If you possess the necessary qualifications and are passionate about leveraging remote sensing for impactful projects, we would love to hear from you!

Skills: ArcGIS, Deep Learning, Python, Machine Learning, QGIS, R, Data Science, MATLAB, Statistics

I’m looking for an experienced developer (or team) to build an **AI-powered Resume Parser and Generator Tool** using the **Lovable platform** as the orchestration layer. The tool must support resume input (PDF/DOCX), extract structured data, and generate a well-formatted resume in one of several selectable templates. Data extraction can be done using **Lovable’s AI/NLP features or an external resume parsing API**—whichever delivers reliable and accurate results.

---

**Core Features:**

1. **Resume Parsing (via AI or External API):**

* Accept resume uploads (PDF/DOCX).
* Extract structured data: personal details, experience, education, skills, languages, certifications, etc.
* Extraction can be done using Lovable’s built-in tools *or* by integrating an external parsing API (e.g. Affinda, Sovren, Hireability, etc.).

2. **LinkedIn Integration:**

* Allow users to input their LinkedIn URL.
* Extract and structure profile data using public scraping or API-based methods (without breaching terms of service).

3. **Template Selection Interface:**

* Provide at least **10 modern, professional resume templates**.
* Allow users to preview, edit, and select their preferred layout.
* Support basic styling customization (optional).

4. **Export Options:**

* Resume output should be downloadable in **both PDF and Word (DOCX)** formats.
* Ensure that layout and formatting are preserved across formats.
* Option for users to edit extracted data before export.

---

**Technical Requirements:**

* **Platform:** Lovable (no-code/low-code automation & integration platform).
* **Resume Parsing:** Can use Lovable's NLP OR integrate external resume parsing API.
* **Frontend:** Web UI (Lovable-native or React component if embedded), responsive and intuitive.
* **Integrations:**

* LinkedIn data (scraped or via API if available).
* External parser API (JSON output compatible with Lovable workflows).
* HTML/PDF/DOCX export engine.
* **Backend (if needed):** Firebase, Node.js, or Lovable-compatible back-end modules.
* **Data Flow:** Input (Upload/LinkedIn) → Parse (API or Lovable) → Template Fill → Export (PDF/DOCX).

---

**Deliverables:**

* Complete Lovable project with integrated parsing and template generation.
* 10 reusable and editable resume templates.
* LinkedIn URL input functionality.
* Reliable export to both PDF and DOCX.
* Workflow documentation and implementation guide.
* Optional: short walkthrough video of the working tool.

---

**Who I’m Looking For:**

* Someone with experience building automation tools using Lovable or similar platforms.
* Strong knowledge of API integration and structured data handling.
* Familiarity with resume parsing tools (either proprietary or open APIs).
* Able to create clean, export-ready templates.
* Open to communication, testing, and feedback loops.

---

**In Your Proposal, Please Include:**

* Similar tools or projects you've previously built.
* Which resume parsing API you recommend and why (if not using Lovable NLP).
* Your suggested architecture (brief).
* Estimated development time and cost.

Skills: Python, Machine Learning, Natural Language Processing, Data Science, Data Scraping

We are seeking a skilled Python Developer to create both static and interactive visualizations from an Excel file. The ideal candidate should have experience with data analysis and visualization, and combine design capabilities with programming ones. If you have a passion for turning raw data into compelling visuals, we'd love to hear from you!

We already have a curated causal matrix (an excel file) that represents a DAG (direct acyclic graph). Each cell tells whether one clinical factor causes another.
We need a small, self-contained code that will:
-Build a directed acyclic graph (DAG) from the excel, in a flexible way so if we change the excel tomorrow or add or delete rows - the DAG is updated.
-PNG – publication-ready static image.
-HTML – fully interactive, zoomable, downloadable web graphic.
-Deliver clean, well-commented, reusable source code.


The DAG should be stylized

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

We are looking for someone who has worked on following:
- processing multiple doc/file types using various libraries
- processing more than 100files per second and having expertise with multiple parallel processing across multiple CPUs
- solid expertise in python
- solid expertise with VLM

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

I am looking for a Python developer who can help me complete my academic assignment. The assignment involves [briefly describe topic or tasks if known, e.g., data analysis, image processing with OpenCV, building a simple script, etc.]. You must have a good understanding of Python and be able to explain the code clearly, as I am still learning.

Skills: Python, Data Science, Machine Learning

We are seeking an n8n expert with fullstack capabilities to build a sophisticated AI agents workflow.
The project involves integrating, MCP, RAG, chunking, embeddings, langchain, and OCR technologies.

The mission is to automate the processing of complex administrative applications, with a particular focus on regulatory compliance.
The inputs will consist of a variety of documents — including texts, technical plans, and images — provided in PDF and JPEG formats. These will need to be processed, their data extracted, and compared against multiple regulatory sources, which themselves may include textual content, maps, and visual plans.
The expected output will be a legally formatted Word document, providing a comprehensive analysis of the application.
We already have access to a large volume of input and output examples to support rapid iteration and refinement of the system.

Fluency in English or French is required for effective communication. I'll be there to assist the candidate at all time if needed. If you are passionate about automation and AI, we would love to hear from you!

Skills: Vector Embedding, Python, Data Mining, Data Scraping, API, Artificial Intelligence, Automation, Data Science, n8n, LangChain, Retrieval Augmented Generation

I’m looking for a neuroimaging expert or neuroscience researcher to analyze my resting-state functional MRI (rs-fMRI) scans for signs of thalamocortical dysrhythmia (TCD) and chronic pain-related brain connectivity abnormalities, particularly in the context of neuropathic facial pain and dysautonomia-related hypoperfusion.

I have already completed a high-resolution fMRI (with structural and resting-state sequences) and can provide you with the DICOM or NIfTI files. The goal is to identify whether my scans show evidence of abnormal thalamocortical connectivity, low thalamic activity, or compensatory hyperactivation in cortical pain-processing areas.

The area I am most interested in, is the Central Lateral Nucleus of the Medial Thalamus. If this is overactive, it means I can undergo a certain surgical procedure that might give me some relief.

Preprocessing and analysis of my resting-state fMRI (motion correction, normalization, etc.)

Seed-based connectivity analysis using the thalamus (especially central lateral nucleus if possible) as the seed

Identification of:

Abnormal thalamic connectivity (especially with frontal, sensory, limbic, or insular regions)

Hypoactivation or disconnection patterns in the thalamus

Hyperconnectivity in pain-processing regions (somatosensory cortex, insula, anterior cingulate)

Asymmetries in connectivity or BOLD signal (especially lateralized to pain)

Optional: Functional connectivity matrix, visual maps, and/or statistical comparisons against normative templates (e.g., HCP)

Skills: Data Processing, Scientific Research, Medical, Data Science, Computer Science

Are you still looking for your first breakthrough on Upwork?

do you have experience with python and machine learning, data science?

I have this test project already build and needs experts hands for optimization.

Only apply if you don't have expertise with python and machine learning.

Skills: Python, Machine Learning, Data Science, Deep Learning, Python Scikit-Learn

Job Title:
Virtual Assistant – Inventory Setup & Data Control

Job Type:
Part-time / Project-based (Potential for ongoing work)

Location:
Remote

Overview:
We are seeking a detail-oriented and proactive Virtual Assistant to help us set up and manage an organized inventory control system for a wellness product business. This role will involve creating a digital inventory structure, inputting product data, tracking stock levels, and ensuring the system is user-friendly and scalable.

Key Responsibilities:
• Create and organize inventory tracking systems using tools like Google Sheets, Airtable, or Notion
• Input and update product information including SKU, size, quantity, pricing, supplier details, and shipping info
• Track incoming and outgoing inventory from warehouse, fulfillment points, and retail locations
• Set up dashboards or reports for real-time visibility of inventory levels
• Communicate with the operations team to verify data accuracy and resolve discrepancies
• Ensure backup and version control procedures are in place

Requirements:
• Proven experience in inventory management or eCommerce support
• Proficiency in spreadsheet tools and database platforms (e.g., Google Sheets, Airtable, Notion)
• Strong attention to detail and data accuracy
• Good communication skills
• Ability to work independently and meet deadlines
• Familiarity with Amazon Seller Central or similar platforms is a plus

Skills: Data Analysis, Data Analytics, Statistics, Data Science, Data Visualization, Data Analysis Consultation, Microsoft Excel, Data Entry, Inventory Management