At InstaPrepsAI, I gathered requirements from students and parents and translated academic pain points into user stories and functional specifications. That work guided delivery of two new modules, which reached 9% feature adoption among active users.
I built GA4 dashboards for activation, engagement, and retention, and used funnel analysis to inform acquisition and messaging experiments. Those recommendations lifted conversion by 8% and week-over-week retention by 10%.
At PharmEasy, I wrote SQL queries and ETL pipelines for enterprise EMR data, improving data accessibility by 30%. I also migrated datasets from Amazon Redshift to Hive, achieving 20% faster query execution, and automated Python reports that reduced manual reporting effort by 40%.
On my Amazon Review Intelligence Platform project, I built a DistilBERT root-cause classifier and predictive models to surface insights from customer reviews. I also implemented MLflow tracking for a reproducible analytics pipeline; separately, my IIT Bombay Racing team won 1st place in Engineering Design at Silverstone 2020.
