Education
Stanford University
Artificial Intelligence Program - Reinforcement Learning, 2021-11-01 - 2022-01-01Harvard Business School Online
, Negotiation Mastery 2021-12-01 - 2022-02-01Stanford University School of Engineering
Professional Certificate, Artificial Intelligence Program 2020-09-01 - 2022-02-01Stanford University
Artificial Intelligence Program, Natural Language Understanding - Machine Learning 2021-09-01 - 2021-11-01Stanford University
Artificial Intelligence Program, Natural Language Processing with Deep Learning 2020-09-01 - 2020-12-01University of California, Berkeley, Haas School of Business
Master's, Financial Engineering 2004-01-01 - 2005-01-01Santa Clara University Leavey School of Business
Master of Business Administration - MBA, 2002-01-01 -Indian Institute of Technology, Delhi
B.Tech, Electrical Engineering -Syracuse University
M.S., Computer Engineering -Stanford University School of Engineering
Certificate, Artificial Intelligence 2022-01-01 - 2022-04-01Work Experience
Network Tools, Inc.
Current
Network Tools, Inc.
General Electric Aviation
2016-01-01 - 2020-01-01
General Electric Aviation
Quotient Technology Inc.
2014-01-01 - 2016-01-01
Quotient Technology Inc.
Bank of America
2010-01-01 - 2013-01-01
Bank of America
Western Asset Management
2008-01-01 - 2010-01-01
Western Asset Management
State Street
2005-01-01 - 2006-01-01
State Street
Skills
Summary
Experienced, energetic, visionary, results-oriented director of machine learning with professional experience in machine learning, software engineering and data science. US Citizen. Cross-functional leadership experiences in multiple application domains including e-commerce recommendation systems, information retrieval, advertising technology, quantitative finance, industrial manufacturing and telecommunications. Actively seeking leadership / management positions in machine learning and data science. SPECIALTIES: • Innovating, setting business vision, building, and managing data science teams for high productivity • Managing complex data science projects effectively from conception to production delivering a high return on investment and business impact with models that have high predictive power • Proven track record and expertise with machine learning and deep learning in multiple domains: recommendation systems, time series modeling, natural language processing, computer vision, quantitative finance • Effective communication, organizational and cross-functional interfacing skills • Architectural visionary arising from years of hands-on expertise in machine learning and deep learning AREAS OF EXPERTISE: • machine learning, data science and data analytics • deep learning in multiple application domains including recommender systems, time series modeling, natural language processing, computer vision, quantitative finance