I'm a BBA graduate in Data Science and Artificial Intelligence who works at the intersection of business understanding and technical analysis. I build end-to-end data pipelines, statistical models, and analytical frameworks — and translate what the data says into decisions that actually get made.
📍 Targeting Business Analyst and Data Analyst roles — focused on SQL, pattern detection, and NLP-based classification 📈 Currently building expertise in business analysis (ECBA), Trust & Safety analytics, and statistical investigation
| Project | Description | Tech Stack |
|---|---|---|
| 🧠 Heart Rate vs. Temperature — 6-Month Pattern Detection Study | Longitudinal physiological analysis fusing Apple Watch data with OpenWeatherMap API. Applied Random Forest, ARIMA, ANOVA, and time-lagged correlation across 6 participants. Null result at population level — individual variability (P3 outlier) isolated and reported. | Python, Random Forest, ARIMA, OpenWeatherMap API, Apple HealthKit XML |
| 🧮 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 and weather data integration, with Power BI dashboard for demand and pricing insights. | Python, XGBoost, Power BI |
| 🏪 Store Uptime Analytics API | FastAPI backend generating uptime/downtime reports from raw store activity logs. | FastAPI, Pandas, Uvicorn |
- 🧠 Built 6-month multi-source data pipeline fusing wearable physiological data with environmental API feeds
- 📊 Applied Random Forest, ARIMA, ANOVA, and T-tests on real-world longitudinal datasets
- 🔍 Conducted anomaly detection and root cause analysis in live operational environments
- 🧮 Deployed Churn Prediction Web App with XGBoost & SHAP explainability
- 📈 Built time-series forecasting models with <6 RMSE on real-world data
- 📊 Created interactive BI dashboards for business reporting and stakeholder decision-making
- 📊 Business Analysis frameworks and BABOK methodology (ECBA exam prep)
- 🔎 NLP-based content classification and pattern detection
- 📈 Advanced SQL — window functions, CTEs, cohort analysis
- ☁️ Cloud-based BI dashboards (Power BI + Azure)
- 🎓 BBA in Data Science & Artificial Intelligence — Woxsen University, 2025 (CGPA: 3.30/4.00 | Final Year: 3.68/4.00)
- 📜 ECBA — Entry Certificate in Business Analysis (IIBA) — In Progress, May 2026
- 📜 Data Analytics and Visualization Job Simulation — Accenture North America
- 📜 Data Analytics for Lean Six Sigma — University of Amsterdam
⭐ If you find my work useful, a star goes a long way! 🌟