Summary
Pankaj Kalania is a Senior Data Scientist with nine years of experience specializing in back-end systems, web scraping, and credit-risk modeling for fintech and retail businesses. He has built production-grade data pipelines and Scrapy-based crawlers to harvest GST business data and used LightGBM to design acquisition-level credit scorecards and credit line estimators for SMEs. Comfortable moving models into product, he has applied RFM segmentation and portfolio-universe gap analysis to improve targeting and upsell strategies. Early work spans time-series forecasting, ARIMA/LSTM, and object detection with YOLO, reflecting a broad ML toolkit grounded in rigorous mathematical training from IIT Kharagpur. Based in Haryana, India, Pankaj combines hands-on engineering with business-focused analytics, often turning public data into actionable commercial insights.
9 years of coding experience
5 years of employment as a software developer
Department of Mathematics, Department of Mathematics at Indian Institute of Technology, Kharagpur