I build end-to-end data and AI projects that turn raw data into actionable insights, analytical products, predictive models, data pipelines, and intelligent applications.
I'm particularly interested in:
- 📊 Data Analytics & Business Intelligence
- 🏗️ Data Engineering & ETL/ELT
- 🤖 Machine Learning
- 🧠 Artificial Intelligence & GenAI
- 🗄️ SQL & Data Modeling
- 📈 Product & Customer Analytics
- 🧪 A/B Testing & Statistical Analysis
- 🚀 AI-powered applications
End-to-end SaaS analytics platform covering product growth, customer intelligence, experimentation, churn prediction, and revenue-at-risk analysis.
Highlights - 100K customers - 1.45M+ product events - Funnel & cohort analysis - A/B testing & statistical significance - Customer segmentation - Churn prediction - Revenue-at-risk modeling - SQL analytical marts - Automated data quality testing - Interactive Streamlit dashboard
Tech: SQL • DuckDB • Python • Pandas • Scikit-learn • Plotly • Streamlit
End-to-end e-commerce analytics project focused on customer behavior, revenue performance, business KPIs, and analytical insights using SQL and data analysis.
Focus Areas - Customer & revenue analysis - Business KPI development - SQL data preparation - Revenue analysis - Customer behavior - Analytical data modeling
Tech: SQL • Python • Pandas • Data Analysis
AI-powered scam detection and digital safety assistant designed to help identify potentially fraudulent or suspicious content.
Tech: React • FastAPI • JavaScript • Gemini AI
Full-stack AI application that uses the Google Gemini API to classify insurance documents through a modern web interface.
Tech: TypeScript • React • Gemini API
Business-focused sales analytics project using Python, SQL, Excel, and Power BI to analyze revenue trends, customer behavior, product performance, and business KPIs.
Tech: Python • SQL • Excel • Power BI • Pandas
Exploratory data analysis project examining video game sales using Python-based data analysis and visualization.
Tech: Python • Pandas • NumPy • Matplotlib • Jupyter Notebook
My AI/ML work focuses on applying machine learning and generative AI to practical problems, from predictive modeling and classification to LLM-powered applications.
- Machine Learning
- Predictive Modeling
- Classification
- Feature Engineering
- Model Evaluation
- Churn Prediction
- Risk Scoring
- NLP
- Generative AI
- LLM Applications
- RAG
- AI Agents
Python • Scikit-learn • XGBoost • LightGBM • Gemini API • LangChain • LangGraph
I'm building experience in designing reproducible data pipelines and analytical data systems, with an emphasis on reliable data preparation, validation, modeling, and analytics.
Raw Data
↓
Data Ingestion
↓
ETL / ELT
↓
Data Validation
↓
Data Modeling
↓
Analytical Warehouse
↓
BI / ML / AI
- ETL / ELT pipelines
- Data cleaning & transformation
- Data validation & quality checks
- Analytical data modeling
- SQL data marts
- Reproducible analytics workflows
- Preparing data systems for BI and ML
- Python
- SQL
- JavaScript
- TypeScript
- Pandas
- NumPy
- Excel
- Power BI
- Plotly
- Matplotlib
- DuckDB
- Scikit-learn
- XGBoost
- LightGBM
- Gemini API
- LangChain
- LangGraph
- React
- FastAPI
- Streamlit
- ETL / ELT
- Data Validation
- Data Modeling
- Analytical Data Marts
- Data Quality Testing
I'm actively building toward roles in:
- Data Analyst
- Business / Product Analyst
- Data Engineer
- Machine Learning Engineer
- AI Engineer
- GenAI / LLM Engineer
I'm especially interested in opportunities where I can combine data, analytics, engineering, and AI to solve real-world problems.
- Advanced SQL & analytical problem solving
- Data engineering & pipeline design
- Machine learning & model evaluation
- Generative AI & LLM applications
- RAG systems & AI agents
- Cloud and production-oriented data workflows
I'm always interested in connecting with people working in Data, AI, Machine Learning, Analytics, and Engineering.
- 💼 LinkedIn: Connect with me
- 🐙 GitHub: @ramritheesh
If you're working on an interesting data or AI project, feel free to reach out!
My goal is to keep building practical, well-documented projects that demonstrate the complete journey from raw data → insights → models → applications.
Thanks for visiting my profile! 🚀