Shivam Mudgil
About Shivam Mudgil
Shivam Mudgil is a Data Engineer at Credit One Bank in Las Vegas, Nevada, with a background in data analysis and a strong foundation in business analytics. He holds a Bachelor of Technology in Computer Science from Manipal University and a Master of Science in Management Information Systems from The University of Texas at Dallas.
Work at Credit One Bank
Shivam Mudgil has been employed as a Data Engineer at Credit One Bank since 2023. His role involves leveraging data engineering skills to support the bank's data initiatives. Based in Las Vegas, Nevada, he contributes to the development and optimization of data processes within the organization.
Previous Experience at Capital One
Prior to his current position, Shivam Mudgil worked at Capital One as a Data Analyst from 2019 to 2023. During his four years in the Dallas/Fort Worth Area, he focused on data analysis and reporting, which enhanced his skills in data management and analytics.
Educational Background
Shivam Mudgil holds a Bachelor of Technology (BTech) in Computer Science from Manipal University, where he studied from 2012 to 2016. He later pursued a Master of Science (MS) in Management Information Systems at The University of Texas at Dallas from 2017 to 2019, gaining a strong foundation in business analytics and data management.
Technical Skills and Specializations
Shivam Mudgil specializes in several technical areas, including Social Media Business, Machine Learning, Tableau, SQL, and Customer Relationship Management. He has experience in developing open-source applications using Kubernetes and has a strong foundation in Business Analytics, R, Statistics, and Data Analysis.
Achievements in Data Analysis
Throughout his career, Shivam Mudgil has made significant contributions to data analysis. He prescribed strategies that improved intern conversion rates by 43% and increased a company's customer base by over 10,000 through factor analysis in R. His expertise also includes creating reports for various departments, enhancing operational insights.