Tapas Saha
About Tapas Saha
Tapas Saha is a Data Research Engineer at ConverSight, specializing in AI and machine learning models for the retail sector. He has a strong academic background in mathematics and has previously worked as a Senior Data Scientist and Associate Software Engineer.
Work at ConverSight
Tapas Saha has been employed at ConverSight as a Data Research Engineer since 2022. In this role, he focuses on developing AI and machine learning models tailored for the retail and supply chain industries. His responsibilities include creating recommendation models that provide optimal suggestions to customers, enhancing the decision-making process within the retail sector. He collaborates with cross-functional teams to ensure the delivery of high-quality AI/ML solutions that meet client needs.
Previous Experience in Data Science
Before joining ConverSight, Tapas Saha worked at 3Analytics as a Senior Data Scientist for a duration of four months in 2022. His role involved leveraging data science techniques to derive insights and support decision-making processes. Prior to that, he served as an Associate Software Engineer at Prodapt Solutions from 2020 to 2022, where he gained experience in software development and engineering practices.
Education and Expertise
Tapas Saha holds a Master of Technology (M.Tech) in Industrial Mathematics and Scientific Computing from the Indian Institute of Technology, Madras, which he completed from 2018 to 2020. He also earned a Master of Science (M.Sc) in Mathematics from The University of Burdwan between 2015 and 2017. His academic background is complemented by a Bachelor of Science (B.Sc) in Mathematics from Bankura Christian College, obtained from 2011 to 2015. His education has provided him with a strong foundation in mathematical and analytical skills.
Technical Skills and Contributions
In his current role, Tapas Saha specializes in building generic forecasting applications for both univariate and multivariate data using Polars and PyArrow. His technical expertise allows him to create effective AI/ML models that cater specifically to the needs of the retail sector. Through his work, he contributes to the advancement of data-driven solutions that enhance operational efficiency and customer satisfaction.