Chinmayi Borgaonkar
About Chinmayi Borgaonkar
Chinmayi Borgaonkar is an Analytics Engineer at Spanx, where she focuses on data-driven decision-making. She holds a Bachelor's degree in Computer Engineering and a Master's degree in Management Information Systems, and has experience in various roles related to data analytics and business development.
Work at Spanx
Chinmayi Borgaonkar has been employed at Spanx as an Analytics Engineer since 2023. In this role, she operates in the Atlanta Metropolitan Area, focusing on data analytics to support business operations. Her responsibilities include collaborating with various teams to develop data solutions that align with business objectives.
Education and Expertise
Chinmayi Borgaonkar holds a Bachelor’s Degree in Computer Engineering from Savitribai Phule Pune University, which she completed from 2012 to 2016. She further pursued a Master of Science in Management Information Systems at The University of Texas at Arlington from 2021 to 2022. Her educational background provides a solid foundation in both technical and analytical skills.
Professional Background
Chinmayi Borgaonkar has a diverse professional background. She began her career as a Business Development Specialist at TSL Marketing in 2017. She later worked as a Business Analyst at SLK from 2017 to 2020. In 2022, she served as a Graduate Teaching Assistant and a Graduate Student Assistant at The University of Texas at Arlington. Additionally, she gained experience in data science during an internship at Pathway Homes.
Technical Skills and Tools
Chinmayi Borgaonkar is proficient in various data analytics tools and technologies. She utilizes DBT, SQL, Tableau, and Snowflake to ensure the quality and reliability of data in her analytics projects. Her technical expertise allows her to deliver effective data solutions that meet business needs.
Data Science Projects
During her internship at Pathway Homes, Chinmayi Borgaonkar developed regression and clustering models to predict property rehabilitation costs and timelines. She employed Python and Salesforce for this project, showcasing her ability to apply data science techniques to real-world problems.