Aditya Shringarpure
About Aditya Shringarpure
Aditya Shringarpure is a Product Manager at FINRA in Rockville, Maryland, with a background in Management Information Systems and Production Engineering. He has extensive experience in data analysis, product management, and project delivery, utilizing various analytical methodologies and tools.
Work at FINRA
Aditya Shringarpure has been serving as a Product Manager at FINRA since 2021. In this role, he is based in Rockville, Maryland, and has accumulated three years of experience in the financial regulatory sector. His responsibilities include overseeing product development and management, ensuring that products meet regulatory standards and user needs.
Education and Expertise
Aditya Shringarpure earned a Master of Science in Management Information Systems from The University of Texas at Dallas, where he studied from 2013 to 2015. Prior to this, he completed a Bachelor of Engineering in Production Engineering at Fr CRCE from 2007 to 2011. His educational background provides a strong foundation in both technical and managerial aspects of product development.
Professional Background
Before joining FINRA, Aditya Shringarpure worked at Inovalon, where he held two positions: Quantitative Analyst from 2015 to 2016 and Product Manager from 2016 to 2020. His experience at Inovalon involved transforming data into actionable insights for market analysis and fraud detection. He also interned as a Data Analyst at Emerson Process Management from 2014 to 2015.
Certifications and Skills
Aditya Shringarpure is certified in Business Intelligence and Data Mining using SAS 9.3. He has extensive knowledge of Agile methodologies, A/B testing, and UI/UX design. His proficiency with tools such as JIRA, Confluence, Bitbucket, and FIGMA enhances his ability to manage product development effectively.
Analytical and Project Experience
Aditya Shringarpure has significant experience in analytics and visualization, contributing to high-quality product delivery. He has worked on projects that involve predictive and descriptive modeling techniques, including neural networks and decision trees. His ability to analyze data effectively supports informed decision-making in product management.