Nihal Singh is a Senior Data Scientist with eight years of experience applying advanced ML, deep learning and generative AI to commercial problems, currently driving analytics at Yum! Brands from New Delhi. He blends strong mathematical training (Integrated MSc Applied Mathematics, IIT Roorkee) with hands-on production work—building dynamic pricing, automated A/B testing APIs, and reinforcement-learning recommendation systems that lifted client ROI by 13.5%. His research background in Physics-Informed Neural Networks and PDEs informs novel approaches to tough modeling problems, and he routinely implements scalable solutions in Python, C++ and Julia. Pragmatic and collaborative, he translates cross-functional business needs into data products while experimenting with cutting-edge methods like online learning and custom RL environments.
Scrapes the university data according to the user input. Also fetches the link of the uni(Not provided by QS) by googling it in a new tab and returning the link.
Contributions:32 commits, 2 PRs, 31 pushes in 1 day
scrapyuser-inputscrapesscrapingfetches
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