Upamanyu Pathare
About Upamanyu Pathare
Upamanyu Pathare is a Data Science Intern at Analysis Group with a background in financial engineering and mathematics.
Title
Data Science Intern
Current Company
Currently working at Analysis Group as a Data Science Intern in Boston, Massachusetts, United States. Involved in data science projects to apply technical skills and analytical methods.
Education and Expertise
Upamanyu Pathare has a solid educational background in both quantitative and financial disciplines. He holds a Master's degree in Financial Engineering from the University of California, Berkeley, Haas School of Business, obtained over three years from 2018 to 2021. Additionally, he completed his undergraduate studies at McGill University, earning a Bachelor of Arts degree in Mathematics and Economics from 2014 to 2018.
Previous Experience
Prior to his current role, Upamanyu accumulated diverse experience in various analytics and quantitative positions. He worked as a Risk and Quantitative Analysis Intern at DSP Blackrock Mutual Fund for two months in 2017 in Bombay, Maharashtra, India. His earlier roles include a three-month stint as a Programmer at Intouch Consumer Care Solutions Pvt Ltd in Pune in 2012, a short-term role as a Data Miner and Analyst at Algoanalytics in Pune in 2015, and a position as a Tutor at McGill University from 2015 to 2018 in Montréal, Quebec, Canada.
Tutoring and Teaching Experience
From 2015 to 2018, Upamanyu Pathare worked as a Tutor at McGill University in Montréal, Quebec, Canada. During this time, he tutored students in subjects such as mathematics and economics, conveying his strong knowledge in these areas to assist students in their academic pursuits.
Financial and Quantitative Analysis
Upamanyu has significant experience in financial and quantitative analysis. At DSP Blackrock Mutual Fund, he worked as a Risk and Quantitative Analysis Intern, gaining practical insights into risk assessment and quantitative methodologies. Here, he applied his analytical skills to assess financial risks and contribute to informed decision-making processes.