Dinesh Sambasivam

Sr Product Manager Data Products @ Oportun

About Dinesh Sambasivam

Dinesh Sambasivam is a Senior Product Manager specializing in Data Products with over nine years of experience in data science and machine learning. He has held various positions at companies such as Dow, Sulekha.com, HCL Technologies, and Oportun, focusing on empowering financial inclusion through data-driven solutions.

Current Role at Oportun

Dinesh Sambasivam currently serves as a Senior Product Manager for Data Products at Oportun. He has held this position since 2023, working remotely. In this role, he focuses on designing and delivering data products that aim to enhance financial inclusion and create social impact.

Previous Experience in Data Analytics

Before joining Oportun, Dinesh worked at Dow as a Senior Data Analytics Subject Matter Expert from 2019 to 2021 in Chennai, Tamil Nadu, India. He also held the position of Manager - Insights and Analytics at Oportun from 2021 to 2023, where he contributed to data-driven decision-making processes.

Career in Machine Learning and Data Science

Dinesh has over nine years of experience in data science, specializing in advanced machine learning and programming solutions. His previous roles include Lead ML Engineer at HCL Technologies from 2016 to 2018 and Senior Data Analyst at Sulekha.com from 2015 to 2016. He also worked at Revealer Global Solutions as a Data Scientist and Data Analyst from 2012 to 2015.

Educational Background

Dinesh Sambasivam earned a Bachelor of Engineering (BE) in Computer Science from Anna University, completing his studies from 2008 to 2012. He further advanced his education by obtaining a Master of Technology (MTech) with a specialization in Data Analytics from the Birla Institute of Technology and Science, Pilani, from 2018 to 2020.

Communication Skills in Data Science

In his previous roles, Dinesh effectively communicated complex data science concepts to decision-makers. This ability led to actionable business insights, demonstrating his proficiency in bridging the gap between technical data analysis and strategic business objectives.

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