Rajesh Parekh

Rajesh Parekh Email and Phone Number

Vice President of AI and ML @ Intuit
California, United States
Rajesh Parekh's Location
San Francisco Bay Area, United States, United States
Rajesh Parekh's Contact Details
About Rajesh Parekh

My passion is applying AI to solve interesting and challenging problems and delight users. I am a seasoned leader with 25 years of industry experience building global scale data products, leading large, successful, and geographically distributed teams, and partnering with executive leadership on product vision and strategy. The products I have built have powered $1B+ incremental revenue and driven vastly improved user experience. I am a hands-on practitioner and have excellent communication skills.

Rajesh Parekh's Current Company Details
Intuit

Intuit

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Vice President of AI and ML
California, United States
Website:
intuit.com
Employees:
17010
Company phone:
1-888-843-5449
Rajesh Parekh Work Experience Details
  • Intuit
    Vice President Of Ai And Ml
    Intuit
    California, United States
  • Intuit
    Vice President Of Ai/Ml
    Intuit Jun 2024 - Present
    Mountain View, California, Us
    I lead efforts to deliver best-in-class financial large language + computer vision models that specialize in solving our customers’ (both SMB and consumer) most pressing problems around tax, accounting, marketing, cash flow, and personal finance.
  • Ligadata
    Advisor
    Ligadata Aug 2015 - Present
    Menlo Park, California, Us
    Strategic advisor and thought partner to the CEO and CTO at LigaData.
  • The Hive
    Advisor
    The Hive Oct 2014 - Present
    Palo Alto, Ca, Us
    Advisor to The Hive's portfolio companies.
  • Google
    Engineering Director
    Google Jan 2018 - May 2024
    Mountain View, Ca, Us
    I led the engineering team building the high-quality digital model of the real world that powers Google Maps and other products like Local Search, Ads, and Google Automotive Services. We leveraged state-of-the-art computer vision and language model algorithms to automate the creation of a highly fresh and accurate map.Highlights:* Drove 10X+ richness and freshness of the data by implementing ML powered automation, closed-loop solutions for global data curation and maintenance, and scalable measurements. * Unlocked the value of strategic data assets delivering $1B+ in incremental Ads revenue.* Launched highly detailed data in Google Maps increasing engagement by 1% while reducing mapping cost 10x and delivered AutoData products that enabled landing key auto OEM partners. * Built and lead a high-performing global team of 150+ engineers and developed key leaders through strong, empathetic leadership, mentorship, and coaching.* Led Diversity, Equity, Inclusion, and Belonging (DEIB) initiatives driving quantifiable improvements in representation and inclusivity.
  • Facebook
    Director Of Analytics
    Facebook Sep 2015 - Jan 2018
    I built and scaled Data Science and Analytics teams from scratch and drove strong product growth across key Facebook products and platforms -- Video, Applied Machine Learning, and Education (K-12). Highlights:* Successful global launch of Facebook Live Video; Drove a >2X increase in total video watch time powered by key insights about broadcasters, viewers, and video content.* Built the Data Science team of the Applied Machine Learning platform and led initiatives that improved algorithm performance in areas like the AI Camera, Language Translation, and Speech Transcription.* Led data science and analytics efforts of Facebook's K-12 education program driving strong adoption of the Personalized Learning Platform across the Summit Public Schools.
  • Groupon
    Vice President, Data Science
    Groupon Jan 2011 - Sep 2015
    Chicago, Il, Us
    I built the global Data Science and Business Intelligence team comprising of 65 data scientists, data engineers, analysts, and product managers. My team's work on data insights, analytics, and modeling has had far reaching impact across the organization. Highlights:* Built large-scale user models and global data products for user-deal targeting, personalized recommendations, and customer loyalty & engagement driving significant incremental revenue growth.* Optimized the end-to-end sales process providing the sales team with data powered tools for hyper-local placement of sales-representatives, merchant selection, and deal parameter setting.* Partnered with product and engineering teams to drive product innovation.* Voice of Data partnering with the S-team to define the strategy for sustained revenue growth and promote the adoption of a data-driven culture across the organization.* Attracted, nurtured, and grew grew global Data Science, Big Data Analytics, and Business Intelligence talent on the team.* Led efforts on data democratization and self-service by publishing global dashboards with drill-down capabilities and alerts to monitor business health that directly addressed most stake-holder questions.
  • Yahoo
    Senior Director, Research
    Yahoo Oct 2004 - Jan 2011
    Sunnyvale, Ca, Us
    Led a talented team of scientists and engineers at Yahoo! Labs to build advanced solutions for display ad targeting. Responsible for the science behind Yahoo!'s flagship display advertising product - behavioral targeting. Drove the strategy and research behind new display ad targeting products.Major focus areas include display ad targeting, increasing ad monetization, optimizing placement of sponsored search ads, online click fraud detection, optimizing large scale display and search engine marketing (SEM) campaigns, user behavior modeling, and social network analysis.
  • Blue Martini Software
    Senior Data Mining Engineer
    Blue Martini Software Jun 2000 - Oct 2004
    Responsible for the design and implementation of several key components of the Blue Martini Business Intelligence and Data Mining suite, mining client and prospect data to uncover interesting nuggets of information, and providing data mining expertise to Blue Martini sales and professional services.
  • Allstate Research And Planning Center
    Senior Research Associate
    Allstate Research And Planning Center Feb 1998 - Jun 2000
    Northbrook, Il, Us
    Applied research in data mining and knowledge discovery with emphasis on insurance problems such as cross-sell, retention, fraud detection, and customer lifetime value modeling.

Rajesh Parekh Skills

Data Mining Machine Learning Analytics Big Data Distributed Systems Online Advertising Business Intelligence Neural Networks Web Mining Strategy Algorithms Scalability Hadoop Databases Information Architecture Data Analysis Mapreduce Artificial Intelligence Information Extraction Perl Social Network Analysis Programming Text Mining Data Science E Learning Optimization Information Retrieval Natural Language Processing Predictive Modeling Big Data Analytics

Rajesh Parekh Education Details

  • Iowa State University
    Iowa State University
    Computer Science (Focus On Artificial Intelligence)
  • Iowa State University
    Iowa State University
    Computer Science
  • Veermata Jijabai Technological Institute (Vjti)
    Veermata Jijabai Technological Institute (Vjti)
    Computer Engineering

Frequently Asked Questions about Rajesh Parekh

What company does Rajesh Parekh work for?

Rajesh Parekh works for Intuit

What is Rajesh Parekh's role at the current company?

Rajesh Parekh's current role is Vice President of AI and ML.

What is Rajesh Parekh's email address?

Rajesh Parekh's email address is rg****@****ail.com

What is Rajesh Parekh's direct phone number?

Rajesh Parekh's direct phone number is +121241*****

What schools did Rajesh Parekh attend?

Rajesh Parekh attended Iowa State University, Iowa State University, Veermata Jijabai Technological Institute (Vjti).

What skills is Rajesh Parekh known for?

Rajesh Parekh has skills like Data Mining, Machine Learning, Analytics, Big Data, Distributed Systems, Online Advertising, Business Intelligence, Neural Networks, Web Mining, Strategy, Algorithms, Scalability.

Who are Rajesh Parekh's colleagues?

Rajesh Parekh's colleagues are Randall Hrna, Neha Upadhyaya, Magic Schubert, Juan Luis Aguilar-Galindo Jiménez, Lisa C., Paul Lapointe, Shirish Verma.

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