Varun Subramanian
About Varun Subramanian
Varun Subramanian is an Associate Director of Platform Solutions at Mad Street Den, where he has worked since 2023. He has a background in data science and analytics, with previous roles at various companies including CreditMantri and Mu Sigma Inc.
Current Role at Mad Street Den
Varun Subramanian serves as the Associate Director of Platform Solutions at Mad Street Den, a position he has held since 2023. His role involves overseeing platform solutions and driving digital transformation initiatives. He works on-site in Chennai, Tamil Nadu, India, contributing to the company's strategic objectives in the technology sector.
Previous Experience at Mad Street Den
Prior to his current role, Varun held several positions at Mad Street Den. He worked as the Digital Transformation Lead for Platform Solutions from 2022 to 2023. Before that, he served as a Data Analyst from 2019 to 2021 and as Manager of Analytics from 2021 to 2022. His tenure at Mad Street Den has spanned various aspects of data analytics and digital transformation.
Career Background
Varun has a diverse career background in data science and analytics. He began his professional journey at Mu Sigma Inc. as a Trainee Decision Scientist from 2016 to 2018. He then worked as a Data Scientist at CreditMantri for one year in 2018-2019. Additionally, he completed engineering traineeships at Ashok Leyland and Tube Investments of India Limited in 2014.
Educational Qualifications
Varun holds a Bachelor of Technology in Mechanical Engineering from Amrita Vishwa Vidyapeetham, Coimbatore, where he studied from 2012 to 2016. He furthered his education at the Indian Institute of Management Bangalore, focusing on Data Science and achieving a specialization in Business Analytics and Intelligence from 2018 to 2019.
Early Education
Varun completed his early education at Chinmaya Vidyalaya from 2002 to 2010 and Maharishi Vidya Mandir from 2010 to 2012. His foundational education provided him with the skills necessary for his later studies in engineering and data science.