Shreya Datar
About Shreya Datar
Shreya Datar is an Analytics Engineer currently working at Brigit in New York. She has a background in data analysis and engineering, with previous roles at companies such as iFIT and ICON Health and Fitness, and holds a Master of Science in Data Science from the University of Minnesota.
Current Role at Brigit
Shreya Datar currently holds the position of Analytics Engineer at Brigit, where she has been employed since 2023. In this role, she focuses on leveraging data analytics to drive insights and support decision-making processes. Her work contributes to the organization's goal of enhancing financial wellness through data-driven solutions.
Previous Experience in Data Engineering
Before joining Brigit, Shreya Datar worked as a Data Engineer at iFIT from 2022 to 2023. In this position, she was responsible for managing and optimizing data pipelines to ensure efficient data flow and accessibility. Prior to that, she served as a Data Analyst at ICON Health and Fitness for four months in 2020, where she analyzed data to support business objectives.
Educational Background in Data Science
Shreya Datar earned her Master of Science in Data Science from the University of Minnesota, completing her studies from 2018 to 2021. Her academic background provided her with a solid foundation in data analysis and statistical methods. She also holds a Bachelor of Technology in Computer Science with a specialization in Bioinformatics from Vellore Institute of Technology, where she studied from 2014 to 2018.
Research and Internship Experience
Shreya Datar has gained valuable research experience as a Graduate Research Assistant at the University of Minnesota College of Pharmacy from 2019 to 2021. Additionally, she completed a one-month internship as an IT Intern at Reliance Life Sciences in 2016. These experiences have contributed to her analytical skills and understanding of data applications in various fields.
Skills and Interests in Data Analytics
Shreya Datar has a strong interest in text mining, pattern recognition, and data visualization. Her skills in these areas enable her to extract meaningful insights from complex datasets. She aims to create a societal impact through data-driven outcomes, reflecting her commitment to using analytics for positive change.