Shubha Nabar

Shubha Nabar

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Co-Founder
Sunnyvale, California, United States

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Résumé


Jobs verified_user 0% verified
  • Faros
    Co-Founder
    Faros
    Sep 2019 - Current (6 years 11 months)
    At Faros, we are building the engineering intelligence platform for the AI era. We help engineering organizations understand the impact of AI on software delivery while providing the operational context that enables AI agents to operate with greater accuracy, relevance, and trust in complex enterprise environments. Our platform is used by some of the most sophisticated engineering teams in the world, ranging from fast-growing technology companies to F500 enterprises. We believe the future of software development will be built by humans and AI working together, and we're building the foundation that makes that possible.
  • Salesforce
    Senior Director, Data Science and Engineering, Salesforce Einstein
    Salesforce
    Feb 2017 - Aug 2019 (2 years 7 months)
    At Salesforce Einstein, we work with some of the most diverse data sets in the world. Hundreds of thousands of businesses and millions of people use Salesforce every day to manage all kinds of customer touch-points. Thus we deal with sales, service, and email marketing data from Fortune 500 companies, web browsing and purchase data from large e-commerce companies, IoT data from connected devices, patient care data from large hospitals and clinics, the entire Twitter firehose as it pertains to various businesses, and so forth. Our goal is to democratize data science so that every business, even one without a sizeable data science team, should be able to harness all this data to build smarter products and make smarter decisions. The simplest
  • Salesforce
    Director, Data Science, Salesforce Einstein
    Salesforce
    Mar 2016 - Feb 2017 (1 year)
  • Salesforce
    Lead Member of Technical Staff
    Salesforce
    Oct 2014 - Mar 2016 (1 year 6 months)
  • LinkedIn
    Senior Data Scientist/Staff Software Engineer
    LinkedIn
    Jan 2013 - Oct 2014 (1 year 10 months)
    LinkedIn Search enables it's 400M+ members to find people, jobs, and content. As a data scientist on the Search team, my focus was on improving query understanding. The goal of query understanding in a search engine is to help users formulate their queries as effectively as possible, with the ultimate goal of getting to relevant information faster. Specifically, I worked on query rewriting, spell correction, and typeahead.
  • Microsoft
    Senior Development Lead
    Microsoft
    Apr 2010 - Nov 2012 (2 years 8 months)
    Managed a team of applied researchers and led the development of industry-first social features on Bing from the science front. Features included recommending Facebook friends, Twitter experts and viral links relevant to a search query. Responsibilities involved relevance-related feature engineering and algo development work, measurement of user engagement metrics for data-driven decision making, as well as new product innovation. The hats: data miner, prototyper, applied machine learning scientist, product manager, mentor.
  • Microsoft
    Research Engineer
    Microsoft
    Oct 2008 - Mar 2010 (1 year 6 months)
Education verified_user 0% verified
  • Stanford University
    M.S, Computer Science
    Stanford University
    Jan 2002 - Jan 2008 (6 years 1 month)
  • Stanford University
    M.S, Computer Science
    Stanford University
    Jan 2002 - Dec 2005 (4 years)
  • Princeton University
    B.S.E, Computer Science
    Princeton University
    Jan 1998 - Dec 2002 (5 years)
Awards verified_user 0% verified
  • Forbes
    20 Incredible women in AI
    Forbes
    May 2017
  • L
    Best in Show, LinkedIn Hackday
    LINKEDIN CORPORATION
    Jul 2014
  • Microsoft Corporation
    Gold Star Award for Excellence in Execution
    Microsoft Corporation
    Jan 2010
  • Stanford University
    Sequoia Capital Stanford Graduate Fellowship
    Stanford University
    Jan 2002
  • Princeton University
    Accenture Prize
    Princeton University
    Jan 2002
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