About

Rajesh Shekhar, CFA, FRM is a highly accomplished researcher and leader with exceptional experience in the area of quantitative finance and machine learning. With over 22 years of relevant experience, Rajesh is a seasoned strategist and professional with a strong breadth and depth in Finance and Technology. He has an excellent data analyses background including the latest Machine Learning, Artificial Intelligence, NLP, and Data Mining. Rajesh has an academic background from top schools such as Columbia, Stanford, Purdue, and IIT. He has worked with big financial services firms like Barclays, Moody’s, and AIG. Rajesh has excellent organization, interpersonal, and communication skills with client-facing sales experience. Currently, Rajesh is the Head of Global Data Science at h2o, where he applies his expertise in data science to drive innovation and create value for the organization. Prior to this, he founded numanic, an AI consulting firm, and worked as a Senior Software Engineer at SYBASE, a database company, and startup companies like Asera and MAE software, mostly as a backend server engineering programmer. Rajesh's education history includes a Masters in Mathematics of Finance from Columbia University, a Bachelors in Engineering from IIT, a Masters in Engineering from Purdue University, and a Graduate Certificate in Quantitative Methods in Finance and Risk Management from Stanford University. Rajesh's tech stack includes Data Scientist, ML, Research Scientist, AI, and NLP. With his exceptional experience and expertise, Rajesh is a valuable asset to any organization looking to leverage data science to drive innovation and create value.