Mia (Xiaomei) Shi Email & Phone Number

Boston, MA, US

• Working closely with team lead and other team members, will work on and create reports and interactive visualizations to timely fulfill requests using a variety of database and analytic technologies.
• Together with other team members, participates in iterative discussions with a diverse community of users including clinicians, clinical researchers, and administrators, to assist with identifying their reporting needs.
• Extract knowledge from the data gathered by various in-house digital health applications / databases and synthesize it to discover previously hidden insights that can provide a competitive advantage or address pressing.
• Lead an effort to establish a scalable and re-usable data science framework to handle heterogeneous data sources, and propose data analytical standards across projects.
• Will help support the design, implementation, and maintenance of Extract, Transform, Load (ETL) processes to gather information from a variety of databases and datasets, including both internal and external sources.
• Create and maintain content documentation, standard operating procedures, and training materials to enable and share best practices for data science.

Canton, MA, US

• Enterprise Tableau Dashboard Developments -- Enterprise Inpatient and Emergency Room KPI tracking dashboard. -- Site of Care opportunity dashboard to identify saving opportunities by converting surgeries from.
• Analyze healthcare claim data and membership data, and conducted various multivariate analyses to identify saving opportunities, such as social network analysis to identify claim leakage, multinomial logistic.
• Work with analytic team, provider networking contractor, clinical staff, medical director to produce various reports and Tableau dashboards to support both internal and external clients.
• Use Teradata SQL, SAS and R for data extraction, manipulation and analysis, and Tableau for data visualization.

• Applying logistic regression and propensity score matching techniques in R to evaluate the impacts of a community fall prevention program among health plan Medicare population
• Applied cluster analysis on medical claim data to segment health plan Medicare population, successfully targeted a segment of health plan members for the Community Fall Prevention program with the consideration of.
• Designed and improved the algorithms for recruiting appropriate and sufficient participants, developed an evaluation strategy to compute the ROI of this Community Fall Prevention program
• Conducted sample power analysis and experimental group design, involved in the assessment form design and data collection, executed the on-going data report and analysis for a multi-year government funded research.
• Applied principal component analysis to understand the satisfaction dimensions (Quality of Care and Quality of Relationship) and generalized estimating equations to understand the factors influencing the satisfaction.
• Applied propensity score matching technique to evaluate the impacts of care transition programs on hospital readmission rates and claim cost reduction

Master Of Arts - Ma, Applied Economic Data Analysis

Applied Data Science Program, Marchine Learning

Bachelor'S Degree, International Economics

Professional Certificate, Machine Learning In Python

Professional Certificate, Machine Learning In Python