🎯 AWS Certified Data Engineer | ML Enthusiast | Impact-Driven Builder
Solving real-world problems in healthcare, public systems, and finance using AI, data pipelines, and good old clean code.
I’m on a journey to use data for public good — from predictive analytics in healthcare to optimization models for smarter infrastructure.
| Languages | Tools & Platforms | ML/ETL Stack |
|---|---|---|
| Python • SQL • Bash | AWS • Git • Docker • VSCode | scikit-learn • Airflow • Pandas • Power BI |
🧠 Health Risk Prediction (In Progress)
Building a machine learning pipeline to identify high-risk patients using open healthcare data.
Status: Modeling + dashboard under development
🔄 Real-Time ETL on Public Transit Feeds
Streaming and cleaning GTFS data for transit optimization.
Using: Airflow, Python, AWS Lambda
📉 Financial Forecasting Model
Predicting SME revenue drop risks post-COVID for regional policy insight.
Using: XGBoost, time series, dashboard coming soon
- 📘 AI That Saves Lives: Building for Health Impact
- 📈 Designing a Real-Time ETL Pipeline with Airflow & AWS
- 🧬 Data Analytics for Public Policy — A Roadmap
💡 Blogs hosted on Medium / GitHub Pages (Coming Soon)
- Finalizing key public-impact projects
- Publishing actionable data science content
📎 LinkedIn 📬 Email Me 💻 Portfolio (Coming Soon)
🔁 "Don’t just code — create outcomes."