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.
11 years of coding experience
1 year of employment as a software developer
Postgraduate Diploma, Machine Learning & Artificial Intelligence, Postgraduate Diploma, Machine Learning & Artificial Intelligence at International Institute of Information Technology Bangalore
Bachelor of Engineering (B.E.), Civil Engineering, Bachelor of Engineering (B.E.), Civil Engineering at Birla Institute of Technology and Science
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