Harshit Nanda is a skilled data scientist and machine learning engineer with extensive experience in both academia and industry. At Carnegie Mellon University, Harshit served as a Graduate Teaching Assistant for multiple courses, including Agent-Based Modeling and Object-Oriented Programming, and contributed as a Graduate Research Assistant for applications of natural language processing and large language models. Previous roles include Data Scientist positions at Blackstraw.ai, focusing on predictive modeling and document extraction technology, and internships at Deloitte India and Concentrix India. Harshit also holds leadership experience as Head of Market Research at Enactus DTU, where a sustainable business model was developed for rehabilitating acid attack victims. Currently, Harshit works as a Machine Learning Engineer at Meta and has demonstrated a strong educational background, achieving a perfect GPA at Carnegie Mellon University.
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