Gunjan Sharma
About Gunjan Sharma
Gunjan Sharma is a Team Lead in Analytics and Data Science at GAIN Credit, where he has worked since 2021. With a background in data science and machine learning, he has held various roles in analytics since 2016, contributing to risk and fraud analytics and optimizing underwriting strategies.
Work at GAIN Credit
Gunjan Sharma currently serves as the Team Lead for Analytics and Data Science at GAIN Credit, a position held since 2021. In this role, he oversees analytics initiatives and leads a team focused on data-driven decision-making. Prior to this, he worked at GAIN Credit as an Analytics Scientist II from 2017 to 2018 and then as a Senior Analyst from 2018 to 2019. His tenure at GAIN Credit has involved significant contributions to analytics projects and the development of strategies aimed at improving operational efficiency.
Education and Expertise
Gunjan Sharma earned a Bachelor of Engineering (BE) in Computer Science and Engineering from Manipal Institute of Technology. His educational background provides a strong foundation for his work in analytics and data science. He has developed expertise in data science, machine learning, and optimizing underwriting strategies, which are critical for his roles in analytics and risk management.
Background in Analytics and Data Science
Gunjan Sharma began his career in analytics at Global Analytics, where he worked as an Analyst Scientist I from 2016 to 2017. He progressed to roles such as Senior Analyst and Analytics Scientist II at GAIN Credit, where he focused on data analysis and strategy development. His background includes experience in risk and fraud analytics, contributing to his comprehensive understanding of data science applications in financial services.
Previous Experience in Software Development
Before entering the field of analytics, Gunjan Sharma worked as a Software Developer at AKS Software Limited from 2013 to 2016. This experience provided him with a solid technical foundation and programming skills that are essential in data science and analytics. His transition from software development to analytics reflects his ability to leverage technical skills in a data-driven environment.