Govind Suresh
About Govind Suresh
Govind Suresh is a Data Scientist at Starling Bank in London, England, with a diverse background in data science and finance. He has held various roles in notable organizations, including Barclays and BrainStation, and is dedicated to mentoring aspiring data scientists.
Work at Starling Bank
Govind Suresh has been employed at Starling Bank as a Data Scientist since 2021. His role involves utilizing data science techniques to derive insights that support decision-making processes within the organization. He has been part of the team for three years, contributing to the bank's data-driven initiatives in London, England.
Previous Experience in Data Science Education
Before joining Starling Bank, Govind Suresh worked at BrainStation as an Associate Educator in Data Science from 2020 to 2021. He also served as a Data Science Teaching Assistant at the same institution for four months in 2020. In these roles, he mentored aspiring data scientists and facilitated learning in data science methodologies.
Career at Barclays Investment Bank
Govind Suresh has held multiple positions at Barclays Investment Bank. He served as an Assistant Vice President in Emerging Markets Credit Risk from 2018 to 2019 and as an Emerging Markets Credit Sanctioning Analyst from 2017 to 2018. Additionally, he worked as a Regulatory Capital Analyst and a Mortgage Credit Risk Analyst during his tenure at Barclays from 2015 to 2016.
Educational Background
Govind Suresh studied at the University of Birmingham, where he earned a Bachelor of Science (BSc) degree in Mathematical Economics and Statistics with a Year in Computer Science from 2011 to 2015. He also completed a Diploma in Data Science at BrainStation in 2019, further enhancing his expertise in the field.
Mentoring and Community Involvement
Govind Suresh is actively involved in mentoring aspiring data scientists. Through his work in a full-time data science bootcamp, he has contributed to educating the next generation of professionals in the field. He emphasizes the importance of leveraging data science to improve financial access for underserved populations.