Samarth Inani

Lead Data Scientist - Machine Learning at Ranker

Samarth Inani is a Lead Data Scientist specializing in Machine Learning at Ranker. Prior to that, Samarth worked at Walmart Labs as a Data Science Research Intern and at MakeMyTrip.com as a Sr Product Analyst in Online Payments. Samarth also has experience as a Data Analyst in Digital Marketing at MySmartPrice.com. In terms of education, Samarth holds a Master of Science in Data Science from the University of San Francisco and a Bachelor of Engineering in Civil Engineering from Birla Institute of Technology and Science.

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San Francisco, United States

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Ranker

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Ranker, attracting more than 30 million monthly unique visitors worldwide, is the leader in fan-powered rankings on just about everything. Whatever the topic - TV, movies, video games, sports, brands, food, lifestyle - Ranker puts the vote into the hands of millions rather than a few critics to answer the questions we are most passionate about.Over 1 billion votes now power Ranker Insights, a treasure trove of psychographic correlation data that delivers personalized consumer recommendations (“if you like X, you’ll also like Y, Z”), and also audience insights to marketers, studios, and platforms seeking a deeper understanding of consumer tastes and preferences. Launched in 2020 and powered by Ranker Insights, Watchworthy is the only statistically relevant, crowd-sourced TV recommendation app available to consumers. Ranker is listed on 2020’s Inc 5000 and Inc. 5000: California Series, Deloitte’s 2019 Technology Fast 500 featuring the fastest growing companies in North America and Built In LA’s Top 50 Mid-Sized Companies To Work For in 2020 & 2021, and No. 5 on Fast Company’s World’s Most Innovative Companies for 2021. Headquartered in Los Angeles with over 115 employees, Ranker also has an office in NYC.


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51-200

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