Sunil Mallam
About Sunil Mallam
Sunil Mallam is an Associate Product Manager specializing in Data & Analytics at HighRadius, where he has worked since 2021. He holds a Bachelor of Technology in Information Technology from Jawaharlal Nehru Technological University and has extensive experience in product management and data analytics.
Work at HighRadius
Sunil Mallam has been serving as an Associate Product Manager in the Data & Analytics division at HighRadius since 2021. In this role, he focuses on initiating product ideas and creating prototypes. He collaborates closely with various teams, including Business, Design/UX, Engineering, and Analytics, to enhance product offerings. His work involves defining and implementing customer engagement strategies aimed at improving product adoption.
Education and Expertise
Sunil Mallam completed his Bachelor of Technology (B.Tech.) in Information Technology at Jawaharlal Nehru Technological University from 2007 to 2011. His educational background provides a strong foundation in technology and analytics, which he has applied throughout his career in various roles related to data and product management.
Professional Background
Before joining HighRadius, Sunil worked at Ivy as a Senior BI Analyst from 2018 to 2021, where he focused on data, insights, and analytics. He also held the position of Data Analytics Lead and Product Owner at BuzzBoard from 2016 to 2018. His career began at GlobalLogic as a Business Analyst from 2011 to 2013, and he later worked at vSplash as a Reporting Analyst from 2013 to 2016. This diverse experience has equipped him with a comprehensive understanding of analytics and product development.
Achievements in Data Analytics
Throughout his career, Sunil Mallam has trained, mentored, and managed a team of interns, focusing on updating and monitoring data related to Value Metrics and Key Performance Indicators (KPIs). He has defined and maintained frameworks that articulate the value of core products. His analytical skills have enabled him to conduct user behavior analysis to identify areas for driving product usage and improvement.