Data analysis & data science
Clean, explore, and model your data to answer real business questions, with clear visuals and recommendations.
Available for freelance projects · Remote worldwide
Turn data into AI that delivers.
I’m Ravindra Kumar Yadav, a freelance data scientist and machine-learning engineer. I build predictive models, GenAI assistants, and real-time analytics for industries, business owners, vendors, and students, from first idea to deployed solution.
- 5+years in FinTech, EdTech & digital platforms
- 100+analytics & ML projects delivered
- 95%average client satisfaction
- 29public GitHub repositories ↗
- Python
- SQL
- PySpark
- Scikit-learn
- XGBoost
- PyTorch
- LangChain
- RAG
- ChromaDB
- FastAPI
- Docker
- MLflow
- Google Cloud · Vertex AI
- AWS SageMaker
- PostgreSQL
- MongoDB
- Power BI
- Streamlit
// 01 · SERVICES
Everything you need to go from data to decisions.
One specialist across the full lifecycle: analysis, modeling, GenAI, deployment, and databases. Pick one service or the complete package.
Machine learning
Classification, regression, and forecasting models with sound validation, explainability, and inference apps.
Generative AI & agentic AI
LLM apps, RAG over your documents, AI assistants and chatbots, and agent workflows that automate real tasks.
Industrial & real-time projects
Data pipelines and real-time ML systems, from sensor and event data to low-latency predictions and alerts.
MLOps & Google Cloud
Ship models to production with APIs, Docker, experiment tracking, CI/CD, and GCP Vertex AI deployments.
SQL, PostgreSQL & MongoDB
Relational and document database design, efficient queries, ER diagrams, normalization, and documentation.
Academic projects & thesis guidance
Research and technical guidance, feedback, and editing support. Students remain the authors of their work and follow their institution’s academic-integrity rules.
Video editing
Polished project demos and presentations with clean cuts, pacing, titles, captions, and export-ready output.
// 02 · WHO I HELP
Built for the way you work.
Whether you run a plant, a shop, an agency, or a research project, you get a clear plan, regular updates, and results you can use.
INDUSTRY & MANUFACTURING
Industrial owners
Put your machine, sensor, and production data to work.
- Predictive maintenance & anomaly alerts
- Quality and defect analytics
- Demand & inventory forecasting
- Real-time dashboards for operations
SMALL BUSINESS & STARTUPS
Business owners
Grow with the data you already have.
- Sales forecasting & customer segmentation
- Churn prediction & retention insights
- AI chatbots and workflow automation
- KPI reports and Power BI dashboards
VENDORS · AGENCIES · IT FIRMS
Vendors & agencies
A dependable ML engineer when your team needs one.
- White-label data science delivery
- Extra capacity for client deadlines
- Model, API, and RAG builds
- MLOps setup and code reviews
USA · UK · UAE · CANADA · AUSTRALIA
Students & researchers
Understand your project and move forward with confidence.
- Academic project guidance
- Thesis research & technical guidance
- Methodology, analysis, and code walkthroughs
- Feedback and editing support
// 03 · PROJECTS
Proof, not promises: explore the code.
Real projects across machine learning, analytics, and database design. Every card links to its GitHub repository.
MACHINE LEARNING · CREDIT RISK01
Credit risk classifier
Loan-default prediction on 50,000 records, with a leakage-aware ML pipeline, WoE/IV feature selection, imbalance handling, and a Streamlit inference app.
98.4%AUC-ROC · 97% recall
final XGBoost model
final XGBoost model
PythonXGBoostRandomUnderSamplerStreamlit
View project on GitHub INSURANCE · REGRESSION02
Health premium predictor
Predicts annual insurance premiums from customer, financial, and health data using a tuned XGBoost regression model.
98.19%R² score
RMSE ₹1,130
RMSE ₹1,130
PythonXGBoostStreamlitMLflow
View project on GitHub TELECOM · CHURN ANALYSIS03
Customer churn analysis
Explores customer churn and compares Logistic Regression, Random Forest, and XGBoost, with SMOTE to address class imbalance.
3classification models
compared
compared
PythonScikit-learnXGBoostSMOTE
View project on GitHub DATABASES · DESIGN & SQL04
Database systems collection
A collection of database examples including retail OLTP, pharmaceutical inventory, budget management, and college management systems.
SQLrelational design
& data modeling
& data modeling
Database designSQLOLTP
View project collection DATABASES · INTERNET OF THINGS05
Smart-home IoT database
A database project about connected home devices, organizing device information and the data behind a smart-home system.
IoTconnected device
data
data
Database designSQLIoT
View project on GitHub DATABASES · EDUCATION06
University database
A university-themed database project demonstrating how an academic information system can be organized and explored.
DBacademic information
system
system
JavaDatabaseUniversity
View project on GitHub DATA ANALYSIS · PYTHON07
Python data analysis
A practical data-analysis project showcasing a Python workflow for exploring and working with real datasets.
EDAexplore, analyze,
communicate
communicate
PythonData analysisJupyter
View project on GitHub PYTHON · PERSONAL FINANCE08
Expense tracking
A Python project for organizing expense records and making personal spending easier to review.
PYtrack & review
expenses
expenses
PythonProject workflowFinance
View project on GitHub // 04 · HOW WE WORK
A simple process with no surprises.
You always know what is being built, when it will be ready, and what it will cost before work begins.
- 01
Share your goal
Message me on WhatsApp or email with your idea, data, and deadline. I’ll ask the right questions.
- 02
Get a clear plan
Receive a defined scope, milestones, timeline, and quote, so expectations are agreed upfront.
- 03
Build with updates
I develop in milestones and share progress and demos, so you can give feedback early.
- 04
Deliver & hand over
Get working code, documentation, and a walkthrough, plus help with deployment when you need it.
// 05 · WHY CLIENTS TRUST ME
Industry experience you can verify.
I’m not just someone who knows the tools. I’ve built and deployed models that real businesses depend on.
Production ML experience
Built and deployed a production credit-risk scoring system at a FinTech NBFC, serving real-time scores with FastAPI on GCP Vertex AI.
Measurable business impact
Raised click-through rate by 17% with an NLP recommendation engine and cut dashboard load times by 40% with optimized ETL.
Proven freelance track record
100+ analytics and ML projects delivered end to end, with 95% average client satisfaction.
Transparent, inspectable work
29 public repositories on GitHub, so you can review my code quality before we start.
Clear communication
Plain-language explanations, milestone updates, and remote collaboration across time zones.
Ethical academic support
Guidance, feedback, and editing only. Students remain the authors and follow their institution’s rules.
// 06 · ABOUT
Hi, I’m Ravindra. Your data & AI partner.
I’m Ravindra Kumar Yadav, a data scientist and machine-learning engineer with 5+ years of experience across FinTech, EdTech, and digital platforms. My work spans credit risk, predictive analytics, NLP recommendation systems, fraud detection, SQL-based ETL, and business intelligence.
I offer freelance data science and AI project services alongside academic project and thesis guidance. I work remotely with clients and students in the USA, UK, UAE/Dubai, Canada, Australia, and elsewhere.
// LET’S BUILD SOMETHING
Have an idea? Let’s make it work.
Share your goal, data, and deadline. Tell me whether you need freelance delivery, technical consulting, vendor support, or academic guidance, and I’ll reply with a clear next step.
yadavravindra.it@gmail.com+91 94663 01856LinkedInBlogGitHub repositories
- USA
- UK
- UAE · Dubai
- Canada
- Australia
- + Worldwide
Thesis support means research and technical guidance, feedback, and editing support. Students remain the authors of their work and are responsible for following their institution’s academic-integrity rules.