My marketing A/B testing project compared ads with Public Service Announcements and used statistical tests, predictive models, and Bayesian analysis to evaluate conversion. I also deployed an XGBoost conversion predictor in Streamlit.
For my TCS internship, I built a credit-risk classification pipeline and evaluated its performance on the UCI German Credit dataset. I’ve also created a Power BI dashboard for Indian road accident data and an end-to-end expense tracker with classification, anomaly detection, and forecasting.
