Building Intelligent Systems
for Real-World Impact

I design scalable machine learning systems that transform raw data into actionable business intelligence.

Selected Case Studies

K-Means + PCA to identify high-value retail segments.

5 actionable behavioral clusters identified.

Logistic Regression + Random Forest for loan risk scoring.

Improved AUC to 0.84.

ARIMA + LSTM hybrid forecasting pipeline.

Reduced forecast error by 18%.

Python

PostgreSQL

Scikit-learn

PyTorch

FastAPI

Docker

AWS

Understanding dimensionality reduction in production ML systems.

Upload your dataset and explore real-time clustering powered by Streamlit.

Experiment with clustering algorithms and visualize economic indicators interactively.

Open to Data Science and ML opportunities.