About

Bhaumik Chokshi is an accomplished Software Engineer with a specialization in Machine Learning and a wealth of experience in the field. Currently, he is working at Facebook as a Software Engineer - Machine Learning, where he is responsible for developing and implementing machine learning algorithms to improve advertising targeting and revenue attribution. With over 15 years of relevant experience, Bhaumik has worked with some of the biggest names in the industry, including Microsoft, where he served as a Senior Data Scientist and Data Scientist 2. During his tenure at Microsoft, he gained extensive experience in behavioral targeting, social targeting, display advertising, and machine learning. Bhaumik's areas of expertise include data enrichment, user identity management, KPI, experimentation, advertising supply-demand analysis, advertising yield/cost analysis, cross-device analysis, consumer ad experience measurement, and ad product recommendation. He is highly skilled in thought leadership, research and analytics, people management, planning, program management, prototyping, and collaboration with Engineering/Marketing/Business/Legal/Research. Bhaumik has a strong educational background, with an MS in Computer Science from Arizona State University and a Bachelor of Engineering in Information Technology from Nirma Institute of Technology. He is proficient in C#, SQL, and Map-Reduce and has a tech stack that includes ML, Software Engineer, Research Scientist, SQL, and Data Scientist. Overall, Bhaumik is a highly skilled and experienced Software Engineer who has made significant contributions to the field of machine learning. His expertise in advertising targeting and revenue attribution is highly sought after, and he is a valuable asset to any organization that he works with.