Summary
Prakash Anand is a Director of Data Science at Paytm with a decade of experience building ML-driven products and leading cross-functional teams across customer analytics, marketing, forecasting and simulations. Trained as an applied mathematician at IIT Roorkee, he combines rigorous quantitative foundations with hands-on expertise in Python, R, SQL and visualization to turn large-scale data into business impact. His career at Paytm shows rapid progression through technical and managerial roles, reflecting a blend of applied research and productionization of models for a high-volume fintech platform. Passionate about large language models, he actively pursues LLM research and public speaking on AI/ML topics, bringing experimental deep-learning techniques into practical solutions. An often-overlooked strength is his background in causal impact analysis and Bayesian time-series work, which informs how he evaluates the business efficacy of data products.
10 years of coding experience
12 years of employment as a software developer
Indian Institute of Technology Roorkee