Mingming A.
About Mingming A.
Mingming A. is a Data Scientist currently employed at CoverMyMeds, where he has worked since 2021. He holds a Bachelor's degree in Accounting from Franklin University and a Master's degree in Data Analysis from Western Governors University, and has experience in predictive modeling and healthcare analytics.
Current Role at CoverMyMeds
Mingming A. has been employed as a Data Scientist at CoverMyMeds since 2021. In this role, Mingming focuses on developing predictive models that support various aspects of the organization, including commercialization, finance, and operations. The position involves utilizing advanced data analysis techniques to enhance healthcare analytics solutions.
Previous Experience in Data Analysis
Prior to joining CoverMyMeds, Mingming A. worked as a Tax Auditor at The Ohio Department of Taxation from 2019 to 2021. This role involved analyzing tax data and ensuring compliance with regulations. Additionally, Mingming co-founded KDLTOY, where responsibilities included creating custom data queries in SQL to improve analytics capabilities.
Educational Background in Accounting and Data Analysis
Mingming A. holds a Bachelor's degree in Accounting from Franklin University, where studies were completed from 2010 to 2013. Furthering education, Mingming earned a Master's degree in Data Analysis from Western Governors University in 2021. This educational background supports a strong foundation in both accounting principles and data analytics.
Technical Skills and Tools Utilized
Mingming A. employs various tools and technologies in data analysis and visualization. Proficient in Tableau, Alteryx, and Microsoft Excel, Mingming creates visual representations of data to provide insights and forecast value. Additionally, expertise in predictive modeling techniques such as SARIMA, Facebook Prophet, and Long Short Term Memory Neural Networks is utilized to optimize operational efficiency.
Research Initiatives and Focus Areas
In the current role, Mingming A. conducts research initiatives aimed at enhancing accuracy and efficiency in operations and planning. This involves a deep understanding of the data stack capabilities that drive healthcare analytics solutions, ensuring that the insights generated are both actionable and relevant to organizational goals.