Rajesh Parekh Email & Phone Number
@google.com
2 phones found area 212 and 650
LinkedIn matched
Who is Rajesh Parekh? Overview
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Rajesh Parekh is listed as Vice President of AI and ML at Intuit, a with 17010 employees, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at google.com, phone signal with area code 212, 650, and a matched LinkedIn profile for Rajesh Parekh.
Rajesh Parekh previously worked as Vice President of AI/ML at Intuit and Advisor at Ligadata. Rajesh Parekh holds Ph.D., Computer Science (Focus On Artificial Intelligence) from Iowa State University.
Email format at Intuit
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AeroLeads found 2 current-domain work email signals for Rajesh Parekh. Compare company email patterns before reaching out.
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.
Listed skills include Data Mining, Machine Learning, Analytics, Big Data, and 26 others.
Rajesh Parekh's current company
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Rajesh Parekh work experience
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Vice President Of Ai/Ml
CurrentI 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.
Engineering Director
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.
Director Of Analytics
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.
Vice President, Data Science
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.
Senior Director, Research
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.
Senior Data Mining Engineer
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.
Senior Research Associate
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.
Colleagues at Intuit
Other employees you can reach at intuit.com. View company contacts for 17010 employees →
Francine Migdal
Colleague at IntuitSan Diego, California, United States
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Chandana Davuluri
Colleague at IntuitLos Angeles County, California, United States
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Danielle Peyton
Colleague at IntuitGreater Myrtle Beach Area, United States
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Vicki Birch
Colleague at IntuitGold Coast, Australia
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Porscha Larson
Colleague at IntuitDallas-Fort Worth Metroplex, United States
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Alana Ruff
Colleague at IntuitGastonia, North Carolina, United States
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Trinare Clarke
Colleague at IntuitUnited States
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Robert Guerra
Colleague at IntuitLubbock, Texas, United States
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Matthew Buchanan
Colleague at IntuitFredericksburg, Virginia, United States
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Tina Banderob
Colleague at IntuitReno, Nevada, United States
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Rajesh Parekh education
Ph.D., Computer Science (Focus On Artificial Intelligence)
M.S., Computer Science
B.E., Computer Engineering
Frequently asked questions about Rajesh Parekh
Quick answers generated from the profile data available on this page.
What company does Rajesh Parekh work for?
Rajesh Parekh works for Intuit.
What is Rajesh Parekh's role at Intuit?
Rajesh Parekh is listed as Vice President of AI and ML at Intuit.
What is Rajesh Parekh's email address?
AeroLeads has found 2 work email signals at @google.com for Rajesh Parekh at Intuit.
What is Rajesh Parekh's phone number?
AeroLeads has found 2 phone signal(s) with area code 212, 650 for Rajesh Parekh at Intuit.
Where is Rajesh Parekh based?
Rajesh Parekh is based in San Francisco Bay Area, United States while working with Intuit.
What companies has Rajesh Parekh worked for?
Rajesh Parekh has worked for Intuit, Ligadata, The Hive, Google, and Facebook.
Who are Rajesh Parekh's colleagues at Intuit?
Rajesh Parekh's colleagues at Intuit include Francine Migdal, Chandana Davuluri, Danielle Peyton, Vicki Birch, and Porscha Larson.
How can I contact Rajesh Parekh?
You can use AeroLeads to view verified contact signals for Rajesh Parekh at Intuit, including work email, phone, and LinkedIn data when available.
What schools did Rajesh Parekh attend?
Rajesh Parekh holds Ph.D., Computer Science (Focus On Artificial Intelligence) from Iowa State University.
What skills is Rajesh Parekh known for?
Rajesh Parekh is listed with skills including Data Mining, Machine Learning, Analytics, Big Data, Distributed Systems, Online Advertising, Business Intelligence, and Neural Networks.
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