Dipesh Joshi

Dipesh Joshi is a seasoned data science professional with extensive experience in developing sophisticated solutions for data-driven decision-making and recommendation systems. Currently serving as a Senior Data Scientist at Sequoia since October 2022, Dipesh has excelled in creating a Q&A bot for healthcare benefits using OpenAI's LLM and RAG techniques. Prior experience includes a role as System Architect at Huawei, where Dipesh designed an end-to-end workflow for ad recommendations, and as a Senior Technical Leader leading the Ads recommendation project for Petal Search. Additional experience includes significant contributions as a Senior Data Scientist at Belong.co, focusing on talent optimization algorithms, and as a Data Scientist at Target, where Dipesh was involved in item demand forecasting and data analysis. Educational credentials include a Master of Technology in Information Technology from the International Institute of Information Technology Bangalore and a Bachelor's of Engineering in Computer Science from Rajiv Gandhi Prodyogiki Vishwavidyalaya.