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Rajeev S.

Rajeev S.

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Senior Director of Machine Learning @ Experienced Specialist in Machine Learning and Data Science / Analytics
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Education

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Stanford University

Artificial Intelligence Program - Reinforcement Learning, 2021-11-01 - 2022-01-01
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Harvard Business School Online

, Negotiation Mastery 2021-12-01 - 2022-02-01
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Stanford University School of Engineering

Professional Certificate, Artificial Intelligence Program 2020-09-01 - 2022-02-01
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Stanford University

Artificial Intelligence Program, Natural Language Understanding - Machine Learning 2021-09-01 - 2021-11-01
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Stanford University

Artificial Intelligence Program, Natural Language Processing with Deep Learning 2020-09-01 - 2020-12-01
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University of California, Berkeley, Haas School of Business

Master's, Financial Engineering 2004-01-01 - 2005-01-01
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Santa Clara University Leavey School of Business

Master of Business Administration - MBA, 2002-01-01 -
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Indian Institute of Technology, Delhi

B.Tech, Electrical Engineering -
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Syracuse University

M.S., Computer Engineering -
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Stanford University School of Engineering

Certificate, Artificial Intelligence 2022-01-01 - 2022-04-01

Work Experience

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Network Tools, Inc.

Current

Network Tools, Inc.

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General Electric Aviation

2016-01-01 - 2020-01-01

General Electric Aviation

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Quotient Technology Inc.

2014-01-01 - 2016-01-01

Quotient Technology Inc.

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Bank of America

2010-01-01 - 2013-01-01

Bank of America

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Western Asset Management

2008-01-01 - 2010-01-01

Western Asset Management

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State Street

2005-01-01 - 2006-01-01

State Street

Skills

Quantitative Portfolio Management Natural Language Processing Statistical Modeling Computer Vision PyTorch Data Mining Time Series Analysis MLOps Reinforcement Learning Machine Learning Data Science Statistical Data Analysis Quantitative Research Risk Management Analytics Valuation Asset Management Market Risk Options Software Engineering

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

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