Sameer Sharma
About Sameer Sharma
Sameer Sharma is a Senior Data Scientist at Enova International, where he has worked since 2022. He has a background in data science with previous positions at Schneider and Cognizant, and holds a Master's degree in Applied Mathematics from the University of Illinois Urbana-Champaign.
Work at Enova International
Sameer Sharma has been employed at Enova International as a Senior Data Scientist since 2022. In this role, he focuses on leveraging data science techniques to drive business decisions and improve operational efficiency. His responsibilities include analyzing complex datasets, developing predictive models, and collaborating with cross-functional teams to implement data-driven solutions.
Previous Experience in Data Science
Prior to joining Enova International, Sameer Sharma worked at Cognizant as a Data Scientist from 2019 to 2022. He also held a position at Schneider, where he served as a Data Scientist for nine months in 2018. These roles contributed to his development of skills in data analysis, modeling, and project management within various organizational contexts.
Education and Expertise
Sameer Sharma earned a Master of Science (MS) in Applied Mathematics from the University of Illinois at Urbana-Champaign, where he studied from 2016 to 2018. He also holds a Bachelor of Engineering (BE) in Information Technology from KDKCE, RTMNU, completed between 2007 and 2011. His educational background provides a strong foundation for his expertise in data science and analytics.
Technical Skills and Proficiencies
Sameer Sharma has developed expertise in automating tasks using Bash scripts in UNIX environments. He is proficient in writing complex SQL queries for data analysis and management and has experience with multiple database systems, including Oracle 11g/12c, SQL Server, and MySQL. Additionally, he utilizes tools such as Eclipse and Vim for software development and scripting.
Agile Project Management Experience
Sameer Sharma is skilled in Agile Project Management, which ensures efficient project delivery. He has experience using version control systems like GIT for collaborative projects, allowing for streamlined workflows and effective team collaboration in data science initiatives.