Summary
Anup Tiwari is a data science and AI manager with 11 years’ experience building production-grade ML solutions across energy and BFSI sectors, now leading generative AI and MLOps initiatives at PwC. He blends hands-on expertise in Python, R and Java with cloud, API and full-stack delivery to turn time-series forecasting and optimization research into automated, client-facing products used by utilities and financial firms. At KPMG he developed Power portfolio optimization, demand and price forecasting modules and recommendation engines that remain in operational use, demonstrating a rare combination of domain depth and deployment focus. Trained at IIIT-B and LJMU in ML/AI, he moved from a civil engineering undergraduate background into machine learning—an unconventional transition that highlights his practical, self-driven technical evolution. Known for web scraping and end-to-end automation, he prioritizes business-aligned models and cross-functional collaboration to drive measurable impact.
12 years of coding experience
3 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Postgraduate Diploma, Machine Learning & Artificial Intelligence, Postgraduate Diploma, Machine Learning & Artificial Intelligence at International Institute of Information Technology Bangalore
Master of Science - MSc., Machine Learning & Artificial Intelligence, Master of Science - MSc., Machine Learning & Artificial Intelligence at Liverpool John Moores University
Sciences (Maths), Sciences (Maths) at Government model senior secondary School Sector 35 Chandigarh
English, Hindi, Punjabi