Ashay Tamhane Email and Phone Number
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Introducing WhatsYum™ - Order delicious food DIRECTLY from your favourite restaurants using WhatsApp! Check out https://whatsyum.inPreviously, I led the team that powers recommendations for various storefront properties at Swiggy, one of India's largest online food delivery platforms. My role involved identifying important problems, translating them into technical formulations, and driving impact through rigorous execution.I have a unique blend of experience across R&D and startups, which helps me effectively balance innovation and business impact. I am skilled at recommender systems, machine learning, and natural language processing. I hold an MS in Computer Science from The State University of New York, Buffalo (2011). My previous stints were with Myntra, IBM Research and HP Labs. Google scholar: https://scholar.google.com/citations?hl=en&user=4zsUJZIAAAAJ
Whatsyum (Datadive Ai Private Limited)
View- Website:
- whatsyum.in
- Employees:
- 8
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Founder And CeoWhatsyum (Datadive Ai Private Limited)Bengaluru, Ka, In
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FounderWhatsyum (Datadive Ai Private Limited) Jan 2024 - PresentBengaluru, InWhatsYum is a WhatsApp based food ordering platform. At WhatsYum, our mission is to help restaurants become self-reliant with technology. This helps them save commissions and help their businesses thrive. Our current product is WhatsApp based, where we allow customers to directly place orders with restaurants at dine-in rates (typically 30% cheaper) using just WhatsApp.
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Director, Data ScienceSwiggy Apr 2021 - Oct 2023Bengaluru, Karnataka, InLed ML initiatives across storefront including the food page, menu, payments, and checkout. Our team built and maintained high impact, high scale Machine Learning models for restaurant listing, dish recommendations and other high visibility storefront properties. -
Staff Data ScientistSwiggy Apr 2019 - Mar 2021Bengaluru, Karnataka, InWorked on personalization of the menu page (item ranking) and optimisation of payment routing models.
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Senior Data ScientistMyntra Jabong Apr 2017 - Jan 2019Bangalore, Karnataka, InLed the Data Science team for Customer Experience. Solved problems in the areas ofescalation prediction, returns fraud, customer churn, and others. My role required me to wearmultiple hats - building models, translating business problems into data science solutions, guiding the team with approach, interacting with business and product stakeholders. -
Data ScientistMyntra Jabong Jan 2016 - Mar 2017Bangalore, Karnataka, InBuilt both predictive and deterministic models for Customer Segmentation and Customer Churn Prediction respectively. These models power Customer Experience tools that are used by CC agents to offer differentiated services to customers.
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Associate Data ScientistMyntra Jabong Sep 2014 - Dec 2015Bangalore, Karnataka, InBuilt short term intent prediction models. To be specific, given a user's browsing data the models predict if s/he is showing intent to purchase and what style(s) will be of interest to him or her. These models powered several use-cases like personalised recommendation emails, personalised notifi cations and personalised coupons.
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Research EngineerIbm India Research Laboratory Sep 2012 - Aug 2014Armonk, New York, Ny, UsAs a part of the Smarter Education group, I worked on an umbrella initiative called Personalized Education Through Analytics on Learning Systems (PETALS). I led the effort of building predictive models to detect students who are at risk of performing poorly and are not college-ready. This detection helps teachers to intervene and correct the student’s learning path. The system is currently successfully deployed in one of the largest public school counties in the US. My work at IBM Research contributed to one journal paper, two conference papers and three patents (two filed, one published). -
Research EngineerHewlett-Packard Labs Jun 2011 - Sep 2012Houston, Texas, UsWrote the backend for a system called 'Autopoint'. Autopoint is capable of automatically generating powerpoint slides from a corpus. There were several sub-problems in this project - my prominent contribution being writing the algorithms for multi-document summarisation and sentence shortening (creating bullets from sentences). This work contributed to filing of a patent and publishing of a tech report. -
Research InternHewlett-Packard Labs Jun 2010 - Aug 2010Houston, Texas, UsWorked on implementation of Video Summarisation algorithm that given a video, it's text transcript and expected duration of video, summarises the original video keeping the gist intact. The approach was to summarise the text transcript of the video and then chop the original video. Abrupt visual changes in the summarised video were avoided using heuristics on difference in video frames. This work contributed to publishing of a tech report.
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Research InternTata Research Development And Design Centre May 2010 - May 2010Short internship to study different data mining algorithms and their parallel versions. Used Cilk++ to implement parallel version of A-priori algorithm.
Ashay Tamhane Skills
Ashay Tamhane Education Details
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University At BuffaloComputer Science -
Savitribai Phule Pune UniversityInformation Technology
Frequently Asked Questions about Ashay Tamhane
What company does Ashay Tamhane work for?
Ashay Tamhane works for Whatsyum (Datadive Ai Private Limited)
What is Ashay Tamhane's role at the current company?
Ashay Tamhane's current role is Founder and CEO.
What is Ashay Tamhane's email address?
Ashay Tamhane's email address is as****@****ail.com
What schools did Ashay Tamhane attend?
Ashay Tamhane attended University At Buffalo, Savitribai Phule Pune University.
What are some of Ashay Tamhane's interests?
Ashay Tamhane has interest in Https, Wordpress, Ashaytamhane, Com, Text Mining.
What skills is Ashay Tamhane known for?
Ashay Tamhane has skills like Algorithms, Machine Learning, C++, Matlab, Sql, Pattern Recognition, Python, Information Retrieval, Java.
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