Prabin is a seasoned professional with over five years of experience in analytics, data engineering, and client service. He holds a Master’s in Applied Data Science from Syracuse University, where he specialized in Database Management, Business Analytics, Natural Language Processing (NLP), Large Language Models (LLMs), and Artificial Intelligence (AI) models. This advanced degree complements his Bachelor’s in Mechanical Engineering, which focused on Operational Research and Industrial Management.

In his previous roles, Prabin has delivered exceptional results across various industries. In the healthcare and pharmaceutical sector, he provided critical data-driven insights and developed efficient data pipelines, ensuring the delivery of accurate and actionable information. Within the investment banking industry, he consulted for a major investment bank, enhancing portfolio management and implementing data solutions that optimized operational efficiency.

Prabin’s academic projects showcase his innovative approach and technical expertise. Notable projects include Abstractive Text Summarization, where he applied advanced NLP techniques, and Health Care Referral Network Analysis, demonstrating his ability to handle complex data and derive meaningful insights. Proficient in Python (Pandas, NumPy, Keras, TensorFlow, PyTorch), SQL, Apache Spark, and AWS (Athena, EC2, S3, Lambda), Prabin’s technical skill set is robust and versatile. His areas of expertise encompass data engineering, data visualization, NLP, quantitative analysis, and strategic planning.

With a proven track record of delivering actionable insights and driving strategic growth, Prabin is leading the AI and New Technology policy vertical at the firm.