varshini as

I build data products with Python and SQL, turning large datasets into interactive dashboards and ML apps that people can actually use. I’ve built and deployed 2 live, interactive dashboards analyzing 100K+ e-commerce records.

One of my go-to projects is my Olist E-Commerce Dashboard in Streamlit, with 5 KPIs, revenue trends, customer segmentation, and AI recommendations—plus an SQL showcase with 20+ queries. I also developed a Student Performance Predictor that uses a Decision Tree Classifier to predict student grades in a Streamlit ML app.

I’m currently working through IIT Roorkee’s Data Science & AI program and completed Deloitte’s Data Analytics virtual experience via Forage. I’ve also contributed as an open source contributor through GirlScript Summer of Code (GSSoC) 2026.