Siddharth Subramanian
About Siddharth Subramanian
Siddharth Subramanian is an AI Product Manager at Resilinc, where he has worked since 2023. He has a strong background in data science, having previously held roles as a Senior Data Scientist and in various positions at Prudential plc and Edelweiss Tokio Life Insurance.
Work at Resilinc
Siddharth Subramanian currently serves as an AI Product Manager at Resilinc, a position he has held since 2023. In this role, he works across the entire data science stack, transforming machine learning concepts into viable products. His responsibilities include leading initiatives that leverage AI to enhance supply chain management and improve operational efficiencies.
Education and Expertise
Siddharth Subramanian earned a Master's degree in Mathematics and Statistics from the University of York, where he studied from 2020 to 2021. Prior to that, he completed a Bachelor of Engineering (B.E.) in Computer Science at Anna University Chennai from 2010 to 2014. His educational background equips him with a strong foundation in quantitative analysis and technical skills relevant to data science and AI.
Background
Before joining Resilinc, Siddharth Subramanian held various positions in the field of data science and analytics. He worked as a Senior Data Scientist at Resilinc from 2021 to 2023 in London, England. His earlier roles include positions at Prudential plc, where he served as a Data Scientist and later as an Artificial Intelligence Engineer - Manager in Singapore. He also worked as an Analyst at Edelweiss Tokio Life Insurance in Mumbai.
Achievements
Siddharth Subramanian has a patent pending for a commodity price prediction model aimed at assisting supply chain companies in making accurate price forecasts. This innovation is designed to help reduce risks associated with price fluctuations. He possesses a unique ability to bridge the gap between AI and business, fostering innovation and revenue growth through data-driven solutions.
Leadership and Innovation
Siddharth Subramanian has experience leading teams of data scientists and data engineers to tackle complex technical challenges. He has developed data-driven products from the ground up and designed machine learning solutions tailored to address specific business problems. His leadership in these projects demonstrates his capability to drive innovation within organizations.