I'm a Data Science graduate passionate about designing intelligent systems that combine analytics, predictive modeling, and backend engineering.
I love transforming raw data into meaningful insights and building end-to-end solutions — from analysis to web apps and APIs.
📍 Currently working on Customer Churn Prediction & ML Dashboards
📈 Exploring ML Ops, backend engineering, and business intelligence
| Project | Description | Tech Stack |
|---|---|---|
| 🧮 Customer Churn Prediction System | End-to-end churn prediction system with Streamlit web app, model explainability (SHAP), and risk segmentation. | Python, XGBoost, SHAP, Streamlit |
| 🚕 NYC Taxi Demand Forecasting + Weather Impact Analysis | Time-series forecasting with XGBoost & weather data, integrated with Power BI dashboard for insights. | Python, XGBoost, Power BI |
| 🏪 Store Uptime Analytics API | FastAPI backend generating uptime/downtime reports from raw store activity logs. | FastAPI, Pandas, Uvicorn |
- 🧠 Deployed Churn Prediction Web App with XGBoost & Streamlit
- 📊 Built forecasting models with < 6 RMSE on real-world data
- ⚙️ Developed FastAPI analytics service for 100K+ log entries
- 📈 Created interactive dashboards for business reporting
- 🌐 MLOps pipelines for model deployment
- 📊 Cloud-based BI dashboards (Power BI + AWS)
- 🧩 Integrating APIs with ML-driven applications
- 🎓 BBA in Data Science & Artificial Intelligence
- 📜 Data Analytics and Visualization Job Simulation – Accenture
- 📜 Data Analytics for Lean Six Sigma — University of Amsterdam
⭐ If you enjoy my work, feel free to star my repositories! 🌟