Archives: Speakers

Dr. Om Deshmukh has a Ph.D. in Machine Learning from the University of Maryland, College Park. Om has 50+ international publications (several best paper awards) and 50+ patents (filed/granted). In 2019, his data science team at Yodlee was recognized as one of the top 10 data science teams to work at in India. In 2017, he was recognized as one of the top 10 data scientists in India. In 2008, his team at IBM Research won the Govt of India’s National Award for the Best Accessible Technology.

He spent close to a decade in IBM Research and Xerox Research driving various state-of-the-art Machine Learning initiatives for global technical research, technology strategy, and start-up partnerships. For more than three years now, Om runs the delivery of data-science driven products at Yodlee Infotech.

Om is a well-known Machine Learning and Data Sciences authority in industry and academia, with several collaborations across IISc / IITs.

Farhat Habib is a Director in Data Science at Trufactor (an Inmobi group company) and works on using machine learning to obtain insights from telecom and online advertising data. Farhat has a Ph.D. and MS in Physics from The Ohio State University.

Prior to Inmobi, he worked on solving logistics challenges at Locus.sh. Before that he was at Inmobi working on improving ad targeting on mobile devices and prior to that he was at Indian Institute of Science Education and Research, Pune leading research on genomic sequence analysis.

Farhat enjoys working on a wide range of domains where solutions can be found by the application of machine learning and data science.

Wasimakram has more than 6 years of experience. He has a Ph.D. in Consumer analytics from the Indian Institute of Science and at Kabbage he works on Machine learning models. Extensively worked on data sources to explore their relevance to business problems including Macro Economic data.

Avi Patchava is a highly-recognized data science leader in India with experience in leading 14 different products, including B2C apps. He specializes in A.I. tech that adds value to digital and mobile products.

He is the Co-Founder and President of Bright Capital Inc., an A.I. FinTech company focused on the U.S. Consumer market. He was a leader in McKinsey’s Advanced Analytics Practice in Asia where he led teams to design, build and implemented 20+ Machine Learning models in the Financial sector, Advertising, and Sales – including in finance, asset management and credit.

After McKinsey, Avi was a VP, Data Sciences and Machine Learning at InMobi. He was part of the Engineering and Product Leadership teams – designed and built solutions for 14 InMobi Product lines, including Performance marketing and User acquisition), Market Research (InMobi Pulse) and B2C business (Glance app on Samsung and Xiaomi devices).

Avi holds graduate degrees from the University of Oxford and the London School of Economics. He also teaches the Data Science session for the Sequoia Surge start-up program.

Tridib Mukherjee defines and drives the Artificial Intelligence and Data Science (AI & DS) strategy in Play Games24x7 across products and business verticals. Games24x7 is a data-driven technology organization with the majority of its products currently in online gaming space. AI/ML is central to this technology vision and Tridib leads a strong multi-dimensional research agenda cutting across Game AI, Process AI, and Content AI while inculcating AI/ML-first approach in end-to-end solutioning. Problems that currently interest him are in the areas of reinforcement learning, bandit algorithms, deep learning, multi-objective optimization, anomaly detection, information extraction and representation, scalable machine learning, POMDP, partially observable stochastic games, and large-scale AI-driven systems.

Earlier, Tridib led the Platforms, Tools, and Technologies research group in Conduent Labs India, formerly known as Xerox Research Center India (XRCI), and drove research on AI for social good around Urban Informatics and Crime Analytics, and Distributed Large-scale Platforms. Tridib’s work on CloudAdvisor, a cloud configuration recommendation system for an enterprise application, won the prestigious IEEE Cloud Cup in 2013.

Prior to joining XRCI, Tridib was a Postdoctoral Research Scholar at Arizona State University where he worked on AI-driven data center optimization and body sensor networks. Tridib has co-authored a book from Cambridge University Press, multiple book chapters, and published 50+ papers in reputed journals and conferences with 1000+ citations. He has 10+ granted US patents in addition to 20+ US patent applications.

Ratnakar Pandey has more than 18 years of experience in analytics and data science fields. At Kabbage, he has led the machine and deep learning models development activity across the customer life cycle, from acquisition to customer engagement to fraud prevention to risk-based underwriting policy development.

Prior to joining Kabbage, he has been a part of the data science leadership team in Citigroup, Target, Texas Instruments, and few startups in India. He has got an MBA from ISB Hyderabad, MS from the University of Arkansas, and B.Tech from HBTI Kanpur.