Kishan Yadav

Overall platform health is strong — 97% of orders complete successfully. Drop-out is small in volume (~3%) but concentrated, not random. The single biggest leak is the Approved → Shipped transition (1,623 orders). 65% of cancellations happen post-payment, indicating seller-side fulfillment failure rather than customer-driven cancellation.

The goal was to turn a messy, real-world funding dataset into a set of clear answers to the questions a founder, analyst, or investor would actually ask: where is the money going, who is writing the checks, and how has activity moved over time.

An end-to-end data analysis project exploring 50,000+ restaurants from Zomato's Bangalore dataset to uncover patterns in cuisine popularity, city-wise pricing, and the relationship between cost and customer ratings.

No project description available.

No project description available.

Financial analytics project on auto loan securitisation data using Python. Analyzes loan performance, risk distribution, and repayment trends across borrower segments.