Divyam Bapna is a Data Scientist at StackAdapt, focusing on developing machine learning solutions for enhanced user targeting since November 2023. Prior experience includes serving as a Senior Teaching Assistant for the English Language Program for International Instructors at UC San Diego from September 2022 to July 2023. Divyam interned at Wilshire, working on equity investment products and developing SQL and Python codes for data cleaning and investment strategy backtesting from June to September 2022. As a Quantitative Researcher at iRageCapital Advisory Private Limited from September 2020 to September 2021, responsibilities included automating trades and implementing risk checks in the derivatives market. Earlier experience includes an internship at NVIDIA, where work focused on deep learning performance estimation on multi-GPU systems. Divyam holds a Master of Science in Electrical and Computer Engineering (ML/DS) from UC San Diego and a Bachelor's degree in Electrical Engineering (with Honors) from the Indian Institute of Technology, Bombay.
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