Meghna Sathe
About Meghna Sathe
Meghna Sathe is a Senior Data Analyst at Overstock, where she has worked since 2023. She combines her pharmacy background with data analytics expertise, focusing on healthcare.ai and advocating for data-driven decision making.
Current Role at Overstock
Meghna Sathe currently holds the position of Senior Data Analyst at Overstock, where she has been employed since 2023. In this role, she utilizes her expertise in data analytics to support data-driven decision-making processes within the organization. Her focus on Statistical Process Control and Predictive Modeling enables her to contribute effectively to various projects aimed at improving operational outcomes.
Previous Experience in Data Analysis
Prior to her current role, Meghna worked as a Data Analyst at Overstock from 2020 to 2023. Her experience also includes positions at Health Catalyst as a Data Science Intern and at Nu Skin as a Data Analyst. These roles have equipped her with a diverse skill set in data analysis and a strong foundation in healthcare analytics.
Educational Background
Meghna Sathe earned her Bachelor of Pharmacy (BPharm) from Shri G S Institute of Technology & Science, completing her studies from 2014 to 2018. She furthered her education by obtaining a Master's degree in Information Systems from the University of Utah - David Eccles School of Business, where she studied from 2018 to 2019. This educational background supports her analytical capabilities in both healthcare and data science.
Internship Experience
Meghna has gained valuable experience through various internships. She interned at Mylan in 2017 for one month and at Workfront in 2020 for two months. Additionally, she served as a Lead IT Intern at Intermountain Healthcare for six months in 2019 and as a Data Science Intern at Health Catalyst for five months during the same year. These internships have provided her with practical insights into the application of data analytics in different sectors.
Technical Skills and Interests
Meghna possesses technical skills in R Shiny, a web application framework for R, which enhances her data visualization capabilities. She has a strong interest in healthcare.ai, merging her pharmacy background with data analytics. Additionally, she is passionate about Natural Language Processing, reflecting her interest in the intersection of language and data.