Dhananjay Muddappa
About Dhananjay Muddappa
Dhananjay Muddappa is a Product Manager specializing in machine learning, currently employed at Liftoff Mobile since 2022. He has a diverse background in data science and product management, having held various roles in organizations such as Janalakshmi Financial Services, Insight Data Science, and ConnexPay.
Current Role at Liftoff Mobile
Dhananjay Muddappa serves as a Product Manager specializing in Machine Learning at Liftoff Mobile. He has been in this role since 2022, contributing to the development and management of machine learning products. His work focuses on integrating data science methodologies into product development, enhancing the company's offerings in mobile marketing.
Previous Experience in Financial Services
Prior to his current position, Dhananjay worked as a UI/UX Consultant at Janalakshmi Financial Services for 11 months in 2016. His role involved improving user interfaces and experiences, contributing to the financial services sector's digital transformation.
Insight Data Science Fellowship
Dhananjay participated in the Insight AI Fellowship program from 2019 to 2020. This program is recognized for its rigorous training in artificial intelligence and data science. He also held positions as an Insight AI Fellow and Technical Advisor during this time, gaining valuable experience in AI applications.
Educational Background
Dhananjay holds a Master’s degree in Data Science from the University of Minnesota-Twin Cities, where he studied from 2017 to 2019. He also earned a Bachelor of Engineering in Computer Science from PES University, completing his studies from 2011 to 2015. His academic background laid the foundation for his expertise in machine learning and data analysis.
Research and Data Science Experience
Dhananjay has engaged in various research activities, including a role as a Research Assistant at the University of Minnesota-Twin Cities and as a Research Associate at EkStep Foundation. His work at EkStep focused on educational technology solutions, while his research at the university enhanced his skills in data-driven methodologies.