Created and implemented a Power BI development, rollout, and training strategy that led to over $1M additional revenue annually for the company through identification of annual wellness visit eligibility, attribution eligibility fall out, and missed chargesDecreased ad hoc report requests by 50% within 3 months through the creation of self-service reporting tools in Power BI and recurring trainings with the data team offered across the company to promote data literacyPlanned and led the rollout of a population health platform to over 200 users, including the release of a transitions of care workflow tool to over 30 primary care practices and a chronic condition workflow tool to a centralized coding team

Coordinated and executed the transition of the Acuitas Health Data Team to Community Care PhysiciansLed the implementation of a new population health platform and the acquisition and integration of data from 10 health plan programs

Developed and implemented a product lifecycle framework and agile data product roadmap. Collaborated cross-functionally with the leadership team to align on strategy, priorities, and resources, reporting directly to the CEO.Designed analytical solutions to meet customer needs and support business developmentMentored the data science, engineering, and analytics teams as a technical subject matter expert, emphasizing engineering best practices to gain efficiencies and improve product and code quality

Redefined core business metrics to better align with customer realities and experiences based on interviews with stakeholders, evidence based research on industry standards, and mathematical principles. Developed tools and documentation to make business metric calculations simpler and standardized.Designed and implemented a quick fix and low debt solution to refining the amount of safety stock sent for underperforming forecasted items while a longer term solution was developed and scaled out.

Grew the department as the 3rd data science employee to a full time team of 17 and oversaw the work, mentorship, and professional development of several employees and 3rd party contractorsManaged the planning, development, and implementation of data products, including an automated process for submitting primary and specialty care supplemental EHR data to participating health plans that increased HEDIS quality performance for our customersConducted product demos, collected client feedback, and prioritized feedback for future sprint planningDemonstrated and maintained subject matter expertise over all financial and operational datasets with continued IC responsibilities as needed

Trained and deployed an xgboost machine learning model to identify patients at high-risk for fallsCollaborated in the design and development of value-based care data products including:- revenue cycle analytic application to improve access to practice management and financial health data- tools and training to help providers and payers identify coding and other billing opportunities- claims based data models and applications identifying cost and utilization patternsOversaw the ETL, creation, and optimization of dozens of data pipelines and data models, including the optimization of a financial data pipeline that decreased reporting wait times from 5 hours to 15 secondsCreated project timelines, tracked project milestones, and communicated project status cross-functionallyPerformed ad hoc analysis and reporting to support clinical, financial, and operational decision making

Optimized matching algorithm between clinical and administrative (SPARCS) sepsis records. Refactored code modeling risk-adjusted sepsis mortality and readmissions. Developed and compared several methodologies for linking inpatient transfer encounters together.

Analyzed clinical and administrative population health data (patient readmissions, CHF and AMI populations, procedure volumes and complication rates, patient radiation exposure, procedure cost, etc.) through data mining, statistical analysis, and data modeling to measure quality of care performance and detect opportunities for improvement. Developed and presented business solutions and performance improvement plans based on data trends.Designed and implemented several data visualization dashboards to increase and automate senior leadership’s access to updated status of KPIs.Optimized data collection for cardiac registries (NCDR, STS, GWTG), implemented data quality practices, and created data queries and reports

Created customizable templates for designing and analyzing a conjoint study and programmed a hierarchical Bayes’ model using JAGS to be applied to conjoint analysis.Assisted with tasks related to market research data analytics to address client needs, including data cleaning and transformation, data modeling, and interpretation of analytic results.