About

Harshit Agrawal is a Data Scientist with a focus on Optimization, currently working at Apple in the role of Operations Research Engineer. With a background in Mechanical Engineering from the prestigious Indian Institute of Technology, Bombay, Harshit has a keen interest in problem-solving in the areas of industrial engineering and finance using analytical and statistical modelling approaches. Harshit's current work at Apple involves supply chain optimization models based on Linear Programming (LP), Mixed-Integer Linear Programming (MILP), and Machine Learning. He has also worked as a validator of Pre-Provision Net Revenue (PPNR) balance forecasting models at Citigroup, where he helped mitigate model risk and fulfil regulatory requirements for CCAR/DFAST. In addition to his work experience, Harshit has successfully executed web development projects in the past and has a strong tech stack that includes Research Scientist, Data Scientist, Web, ML, and Backend. He is passionate about learning and staying up-to-date with the latest tech trends, and in his free time, he enjoys watching videos on tech, gaming, tutorials, and gaming itself. With 4.20 years of relevant experience, Harshit is a highly skilled professional who is always looking for new challenges and opportunities to grow. He is open to connecting with like-minded professionals and building new relationships in the industry.