Peng H.
About Peng H.
Peng H. is a Senior Product Manager at ConnectiveRx with a strong background in healthcare data analysis and product management. He has extensive experience in handling large datasets and has published over 10 peer-reviewed papers in fields such as machine learning and data mining.
Work at ConnectiveRx
Currently, Peng H. serves as a Senior Product Manager at ConnectiveRx, a position held since 2022. In this role, he is responsible for overseeing product management initiatives, leveraging his extensive background in healthcare data and technology to enhance product offerings. His experience in managing large datasets and implementing technical solutions contributes to the effectiveness of his work at ConnectiveRx.
Previous Experience in Healthcare Data Analysis
Prior to his current role, Peng H. worked at Qlarant as the Lead Health Data and Business Analyst from 2012 to 2013. He focused on combating healthcare fraud during his tenure. He also served as a Senior Product Owner and Subject Matter Expert at Evolent Health from 2014 to 2019, where he specialized in Risk Adjustment IT Solutions. His role at Arch Systems, LLC as a Lead Data/SAS/Business Analyst in 2014 further solidified his expertise in healthcare data management.
Educational Background and Certifications
Peng H. has a robust educational background in information systems and data science. He is a Ph.D. candidate in Information Systems from the University of Maryland Baltimore County, where he also earned a Master of Science in Data Mining. Additionally, he completed a Data Science and Big Data Analytics course at EMC Education and received a certificate in Predictive Analytics from Prediction Impact, Inc. His studies at MIT Sloan School of Management focused on Artificial Intelligence and Machine Learning, culminating in an Executive Management and Leadership program.
Technical Skills and Expertise
Peng H. possesses strong technical skills essential for data analysis and product management. His proficiency includes SQL, SAS, JSON, Python, XML, and various database technologies. He is familiar with cloud platforms such as Azure and AWS. His experience with large datasets, particularly with the Center for Medicare & Medicaid Services (CMS) Integrated Data Repository, showcases his capability in handling complex data environments.
Publications and Research Contributions
Peng H. has published over 10 peer-reviewed papers in respected journals, including IEEE, AMCIS, and ACM Computing. His research primarily focuses on Machine Learning, Data Mining, and Intelligent Cyber Security. This body of work reflects his commitment to advancing knowledge in these fields and contributes to his credibility as a professional in data science and analytics.