Janvi Mirchandani
About Janvi Mirchandani
Janvi Mirchandani is a Data Analyst with a Master of Science in Data Analytics from Carnegie Mellon University. She has experience in mobile app development, digital transformation, and data analytics, having previously worked at Reckitt and Sagarsoft in Dubai.
Work at ConnectiveRx
Janvi Mirchandani currently holds the position of Data Analyst at ConnectiveRx, where she has been employed since 2023. In this role, she applies her expertise in data analytics to support various projects and initiatives within the organization. Her responsibilities include analyzing data sets, generating insights, and contributing to the overall data strategy of ConnectiveRx.
Education and Expertise
Janvi Mirchandani earned her Master of Science in Data Analytics from Carnegie Mellon University, completing her studies from 2022 to 2023. Prior to this, she obtained a Bachelor of Engineering in Computer Science from the Birla Institute of Technology and Science, Pilani Dubai, where she studied from 2018 to 2022. Her educational background equips her with strong analytical skills and technical knowledge in data management.
Background
Janvi Mirchandani has a diverse background in data analytics and software development. She worked as a Research and Development Intern at Reckitt in Dubai from 2021 to 2022, where she managed digital transformation projects and developed relational databases. Additionally, she completed a Software Development Internship at Sagarsoft (India) Ltd in 2020. Her internships provided her with practical experience in data analysis and application development.
Achievements
During her internship at Reckitt, Janvi Mirchandani designed and launched user-friendly mobile and desktop applications using Microsoft Power Apps. She also developed custom Power BI dashboards and managed projects that improved organizational portfolio management efficiency. Furthermore, she collaborated on a Capstone Project at Carnegie Mellon University for LivaNova, where she focused on analyzing claims data using advanced clustering algorithms.