Chung Pham
About Chung Pham
Chung Pham is a Data Scientist with extensive experience in data analysis and database development, currently working at Sandhills Global since 2020. He holds a Bachelor's degree in Business Management from Doane University and has previously worked in various roles including Business Analyst, Credit Risk Analyst, and Personal Banker.
Current Role as Data Scientist
Chung Pham currently serves as a Data Scientist at Sandhills Global, a position held since 2020. In this role, Chung specializes in predictive modeling and data transformation, utilizing advanced analytical techniques to derive insights from complex datasets. Chung's expertise in data science contributes to the company's data-driven decision-making processes.
Previous Experience at Sandhills Global
Chung Pham has a history with Sandhills Global, having worked in multiple capacities. Initially, Chung served as a Business Analyst for four months in 2019, followed by a year-long tenure as a Database Developer from 2019 to 2020. These roles provided valuable experience in data management and analysis, laying the groundwork for Chung's current position.
Educational Background
Chung Pham earned a Bachelor's degree in Business Management from Doane University, studying from 2016 to 2018. Prior to this, Chung completed an Associate's degree in Business Administration at Southeast Community College. This educational foundation supports Chung's analytical skills and business acumen.
Professional Experience Prior to Sandhills Global
Before joining Sandhills Global, Chung Pham held several positions that contributed to professional development. Chung worked as a Personal Banker at Pinnacle Bank from 2013 to 2016, and as a Credit Risk Analyst at Capital One from 2017 to 2019. Additionally, Chung served as a Banking Operation Specialist at Automated Systems Inc. for six months in 2016.
Technical Skills and Specializations
Chung Pham possesses strong technical skills relevant to data science. Proficient in R, Chung applies this programming language for various data science applications. Additionally, Chung is skilled in SQL, focusing on data storage, output, and performance tuning, which enhances the efficiency of data handling and analysis.