Reetabrata Har
About Reetabrata Har
Reetabrata Har is the Director of Data and Business Intelligence at Coda Payments, where he has worked since 2021. He has extensive experience in data warehousing, data engineering, and analytics, with a strong academic background in Mathematics, holding a PhD from Nanyang Technological University.
Current Role at Coda Payments
Reetabrata Har serves as the Director of Data and Business Intelligence at Coda Payments, a position he has held since 2021. In this role, he is responsible for overseeing data strategies and business intelligence initiatives within the organization. His expertise in data warehousing and data engineering techniques supports the company's efforts to leverage data for decision-making and operational efficiency.
Previous Experience at GoBear
Prior to his current role, Reetabrata Har held several positions at GoBear. He served as the Director of Analytics for 11 months in 2018, where he focused on data-driven insights. He later transitioned to the role of Director of Technical Product Management from 2019 to 2020. Additionally, he worked as a Data Scientist from 2015 to 2017, contributing to the company's analytics capabilities.
Experience at Aon
Reetabrata Har worked at Aon as an Actuary Data Analyst from 2014 to 2015. In this role, he applied his analytical skills to support actuarial functions and data analysis within the organization. His experience at Aon added to his diverse professional background in data analytics.
Educational Background
Reetabrata Har holds a Doctor of Philosophy (PhD) in Mathematics from Nanyang Technological University, where he studied from 2009 to 2014. He also earned a Master of Science (MS) in Mathematics from Goa University, completing his studies there from 2006 to 2008. His academic background provides a strong foundation for his work in data and analytics.
Professional Background
Reetabrata Har has a diverse professional background that includes experience in both start-ups and global organizations. His work spans various roles in data analytics, data science, and technical product management, contributing to a well-rounded expertise in the field. Additionally, he has experience in academia, enhancing his analytical and problem-solving skills.