Analyzed 215K patient drug reviews to find which medications carry the highest adverse event burden — built an NLP classifier that detects safety signals from patient language alone (AUC 0.911)

Exploratory Data Analysis on real-world patient reviews to uncover insights into drug effectiveness, side effects, condition-based trends, and prescription patterns using Python, Pandas, and visualization libraries.