Mallikarjun Yelameli, PhD
About Mallikarjun Yelameli, PhD
Mallikarjun Yelameli, PhD, is a Data Scientist with a Doctor of Philosophy in Engineering from Kyushu Institute of Technology. He has experience in computer vision, supply chain, and price optimization, and currently works at Sandvine in Bengaluru, India.
Work at Sandvine
Mallikarjun Yelameli currently serves as a Data Scientist at Sandvine in Bengaluru, Karnataka, India. He has been with the company since 2023, contributing to various projects in a hybrid work environment. His role involves leveraging his expertise in data science to develop solutions that enhance operational efficiency and optimize business processes.
Education and Expertise
Mallikarjun Yelameli holds a Doctor of Philosophy in Engineering from Kyushu Institute of Technology, where he studied Life Science and Systems Engineering from 2014 to 2019. He also earned a Master of Technology in Digital Communication from RV College of Engineering between 2011 and 2013. His academic background includes a Bachelor of Engineering in Electronics and Telecommunication from Punyashlok Ahilyadevi Holkar Solapur University, completed from 2006 to 2009, and a Diploma in Electronics and Communication from S.E.S. Polytechnic, Solapur, from 2002 to 2006.
Professional Background
Before joining Sandvine, Mallikarjun Yelameli worked as a Data Scientist at Rakuten in Tokyo, Japan, from 2021 to 2023. He previously held the position of Software Engineer II at ZMP Inc. from 2019 to 2021. His early career includes a role as an Assistant Professor at KLE DR.M S Sheshgiri College of Engineering and Technology in Belagavi from 2013 to 2014.
Achievements in Data Science
Mallikarjun Yelameli has over five years of experience in data science, particularly in computer vision, supply chain management, and price optimization. At Rakuten Group Inc., he established and led a Deep Learning Solution Team focused on sales and demand forecasting. His work emphasizes collaboration with business users and other data scientists to create automated solutions that improve inventory optimization and operational processes.