Abhinav Unnam
About Abhinav Unnam
Abhinav Unnam is a Data Science Leader at Zepto, where he has worked since 2022. He has extensive experience in data science roles across various companies, including ASQI and ZS Associates, and holds an Integrated Dual Degree in Electrical and Electronics Engineering from the Indian Institute of Technology, Roorkee.
Work at Zepto
Abhinav Unnam has been serving as a Data Science Leader at Zepto since 2022. In this role, he has developed demand shaping algorithms to optimize product availability and pricing strategies. He specializes in dynamic pricing models aimed at improving revenue management. Additionally, he has implemented large-scale machine learning systems to enhance operational efficiency and focused on ETA prediction models to improve delivery accuracy and customer satisfaction.
Previous Experience in Data Science
Prior to his current position, Abhinav worked at ASQI as a Quant (Full Stack Data Science) from 2019 to 2021 in the Mumbai Area. He also held a position at ZS Associates as a Data Scientist from 2016 to 2017 in Gurgaon. His experience includes working at Curl Analytics as a Data Scientist from 2018 to 2019 in Bangalore, where he contributed to various data-driven projects.
Internships and Early Career
Abhinav's early career included several internships that provided foundational experience in data science and analytics. He interned at Microsoft India in Sales & Marketing for two months in 2015 in Gurgaon. Additionally, he completed a summer internship at Analytics Vidhya in 2014. He also worked as a Trainee at Bombardier for one month in 2013 in the New Delhi Area. His part-time role as a Research Consultant at WorldQuant spanned from 2014 to 2016.
Education and Expertise
Abhinav Unnam studied at the Indian Institute of Technology, Roorkee, where he earned an Integrated Dual Degree (BTech + MTech) in Electrical and Electronics Engineering from 2011 to 2016. His academic background has equipped him with a strong foundation in engineering principles, which he applies in his data science work.