Ashish Chhatriya 24BEC0389

I've built an end-to-end e-commerce data analysis pipeline on the Olist dataset, using Python, Pandas, NumPy, and Matplotlib to turn roughly 100,000 transactions into actionable business insights.

I cleaned transactional data through multi-table merges, aggregations, pivot tables, and feature engineering, then created visualisations for revenue distribution, delivery KPIs, and customer sentiment trends.

I've also developed a real-time railway track health monitoring system that streams ESP32 sensor telemetry to Firebase and uses a Python multi-fault weighted algorithm to classify anomalies and trigger RFID-based fault-localisation alerts.

Alongside data work, I build embedded and digital systems including an FPGA-based medical image enhancer, an RFID-unlocked human-following cart, and a Verilog vending-machine controller. As an IEEE ComSoc core member at VIT, I've helped organise technical events and workshops for more than 100 attendees.