Jigyasa Grover
About Jigyasa Grover
Jigyasa Grover is a Senior Data Scientist specializing in Machine Learning at Faire, focusing on monetization through ads prediction and ranking. She has extensive experience in data science and machine learning, having previously worked at notable companies such as Google, Twitter, and Facebook.
Current Role at Faire
Jigyasa Grover currently serves as a Senior Data Scientist specializing in Machine Learning at Faire. She focuses on Monetization, specifically in Ads Prediction and Ranking. Her role involves developing and implementing machine learning models to enhance advertising strategies and improve revenue generation. She has been with Faire since 2023.
Previous Experience at Twitter
Before joining Faire, Jigyasa Grover worked at Twitter as a Senior Machine Learning Engineer in the Monetization team, focusing on Ads Prediction and Ranking. Her tenure lasted from 2019 to 2023, during which she contributed to optimizing advertising algorithms and improving user engagement through data-driven insights.
Work at Google
Jigyasa Grover has been recognized as a Machine Learning Google Developer Expert (GDE) at Google since 2021. In this capacity, she shares her expertise in machine learning with the community, contributing to various projects and initiatives that promote the use of machine learning technologies.
Education and Early Career
Jigyasa Grover's early career includes significant roles in research and development. She worked as a Research Scholar at the National Research Council Canada in 2016 and at the Max Planck Institute for Informatics in 2017. Additionally, she was involved in the Google Summer of Code as an Open Source Developer with FOSSASIA from 2015 to 2016, and served as a Pharo Organization Administrator during the Google Summer of Code from 2017 to 2018.
Teaching Experience
In 2018, Jigyasa Grover gained teaching experience as a Data Science and Engineering Teaching Assistant at UC San Diego. Her role involved supporting students in understanding complex data science concepts and methodologies, contributing to their academic success.