Vikesh is Sr. Data Scientist with Fountain9, a YCombinator backed AI startup. (YC backs startups like Airbnb, Doordash, Coinbase, etc) He handles a portfolio of e-commerce co.s, helping them scale their forecasting and planning, using Machine Learning and AI-based solutions. He has had considerable exposure to MLOps and Time Series Forecasting in his current stint. Earlier at Browserstack, he implemented Natural Language Processing based handbuilt solutions to derive insights from large text data and deliver customer satisfaction at scale.
As an AI - ML enthusiast, he enjoys spreading awareness regarding applications of machine learning in business use-cases. He is passionate about contributing to building an AI-enabled future for all business verticals beyond tech.
With a BE Mech background, his professional experience spans from production, supply chain and IoT driven systems through Solar & SaaS consulting to end-to-end Machine Learning, NLP & DS-based solutions using real-world data.
Outside of work, he is a classical percussionist, avid reader, environmentalist and a chess fan.
Transfer Learning for Business Agility
Session revolves around applicability of transfer learning solutions to business processes to deliver more value with slight adaptations. Focus is primarily on latest advancements in Natural Language Processing and its applications. Shallow dive into 2 specific use cases from previous experience and their resulting impact on business value in terms of time-savings and revenues.