Avani Gupta
About Avani Gupta
Avani Gupta is a Senior Data Scientist currently employed at Kin Insurance in Chicago, Illinois. She has a diverse background in data science and analytics, with previous roles at companies such as Goldman Sachs and MediaMorph, and holds a Master of Science in Interdisciplinary Data Science from Duke University.
Work at Kin Insurance
Avani Gupta currently serves as a Senior Data Scientist at Kin Insurance, a role she has held since 2023. Based in Chicago, Illinois, she applies her expertise in data science to enhance the company's insurance products and services. Her work involves analyzing data to drive decision-making and improve operational efficiency.
Previous Experience in Data Science
Before joining Kin Insurance, Avani Gupta worked at Adelaide as a Senior Data Scientist for a brief period in 2022. She also held the position of Data Scientist at Adelaide from 2020 to 2022. Her earlier experience includes a Data Analyst role at MediaMorph in New York from 2013 to 2014 and an internship in Data Science at Imagine Entertainment & Television in 2019.
Experience at Goldman Sachs
Avani Gupta worked at Goldman Sachs as an Associate in Decision Sciences from 2022 to 2023. During her 11 months at the firm, she contributed to data-driven strategies that supported various business decisions. This role further solidified her analytical skills within a leading financial institution.
Educational Background
Avani Gupta earned her Master of Science in Interdisciplinary Data Science from Duke University Graduate School, completing her studies from 2018 to 2020. She also holds a Bachelor of Arts in Economics, Mass Communications, and Media Studies from Tufts University, where she studied from 2009 to 2013. Additionally, she studied Mandarin at Beijing Language and Culture University in 2011.
Early Education
Avani Gupta completed her early education at Hong Kong International School, where she studied from 1997 to 2009. This foundational education provided her with a diverse academic background, preparing her for her future studies and career in data science.