Summary
Mahipal Papola is a Sports Data Scientist with 10 years of experience applying AI and machine learning to sports, finance, and EdTech problems from Hyderabad, India. At Dream11 he builds end-to-end pipelines—ingesting video, audio, and text—then engineers features and deploys deep learning models such as BERT variants and Multiscale Vision Transformers to inform player and team decisions. He has research experience in financial text regression for real-time stock volatility prediction using CNNs and word-embedding techniques, and he brings that rigor to production-facing analytics. As a Machine Learning Specialist at Hawk Research he solves real-time EdTech challenges, demonstrating versatility across domains and data modalities. Mahipal combines strong visualization skills (Tableau, Power BI, Qlik) with hands-on model development in PyTorch/TensorFlow, making complex insights accessible to stakeholders. Quick to learn and thrive on challenges, he uniquely bridges academic research methods with pragmatic product-driven AI in sports.
10 years of coding experience
1 year of employment as a software developer
Master of Technology - MTech, Artificial Intelligence, Master of Technology - MTech, Artificial Intelligence at University of Hyderabad
Bachelor of Technology - BTech, computer science and engineering, Bachelor of Technology - BTech, computer science and engineering at KRISHNA INSTITUTE OF ENGINEERING AND TECHNOLOGY, GHAZIABAD
English, Hindi, kumaoni, telgu, Punjabi, Bhojpuri