Turning ideas into systems that scale. Driven by curiosity, measured by impact.
B.S. in Data Science & Programming, IIT Madras.
End-to-end predictive maintenance system for diesel particulate filters. Synthetic data generation, temporal feature engineering, XGBoost with MLflow tracking. RMSE ~0.87%.
Python XGBoost FastAPI Docker MLflow
Complete supervised ML pipeline for clinical diagnosis with EDA, SMOTE class balancing, and SHAP interpretability analysis.
Python Scikit-learn XGBoost SHAP
Malware prediction from high-dimensional system telemetry data. feature engineering, PCA, and gradient boosting ensembles with cross-validation.
Python LightGBM XGBoost Scikit-learn