▪ Analyzed and presented findings on VBC contract performance to drive executive decision making.▪ Translated clinical team requests into functional specifications for dashboarding and analytics.▪ Wrote SQL reporting for analysis of business critical KPIs.▪ Developed statistical models of high risk patients for inpatient utilization to guide outreach.▪ Quantified impact of population health initiatives on spend and utilization across critical contracts.▪ Published financial and operational dashboards of current performance in Tableau to stakeholders.▪ Conducted analysis of discrepancies in business critical data sources and recommended solutions for reconciliation.▪ Rewrote existing SQL procedures to improve efficiency and reflect changing business requests.▪ Utilize git to modify existing reporting while maintaining version control.▪ Built reporting and quantification for marketing team’s outreach initiatives.▪ Developed documentation on existing business processes.

▪ Conducted population health analyses of patient panel to identify opportunities for improvement in Quality STARs ratings andHCC Recapture. ▪ Compiled monthly performance of Risk Adjustment and Quality KPIs for presentation to executive leadership.▪ Built risk stratification models in Python to understand members at highest risk of non-compliance for HEDIS measures to guideoutreach. ▪ Built historical scorecards on provider performance of HEDIS metrics to drive improvement via outreach and educational campaigns. ▪ Conducted statistical analysis of relationship patient medication adherence and membership tenure to understand patient profile.▪ Translated existing data pipelines from SAS to SQL procedures, aligning tools across the organization.▪ Transitioned monthly reporting from Excel to PowerBI, reducing manual updating across the team.▪ Implemented AI vendor’s NLP algorithm for chart abstraction, reducing nurse manual work and increasing revenue via STAR score improvements. ▪ Trained and managed two junior analysts on uses of health data, statistical methodology, and department reporting standards.▪ Developed data inventory and ETL strategy in conjunction with Data Engineering to improve payer data quality and build analysis ready databases.

▪Performed econometric analysis with Python on effects of intervention on patients with Chronic Kidney Disease.▪ Developed and maintained population health dashboards in Tableau based on client needs.▪ Assisted Data Engineering in cleaning and ingestion of various data sources into usable schema for analysis in a BigQuery environment. ▪ Acted as liaison between Data Science and Business development teams to bridge knowledge gaps.▪ Maintained documentation of ongoing business initiatives to train newer team members and spread health economics knowledge.

-Provide dashboards, reports, and analysis related to risk adjustment activities.-Prepare actionable clinic reporting that identifies members with risk adjustment opportunities.-Assist with RADV preparation activities and audits.-Use statistical software to retrieve, edit and tabulate data from various databases and files

-Develop financial models to project cost or estimate savings for specific business decisions-Designs complex ad hoc reports to support a variety of functional areas with varied software-Perform timeseries forecasting of financial data and reconcile with internal accounts

- Identify/monitor cost and utilization trends in and identify root causes in health plan trend performances.-Gathered data and conduct ad-hoc analyses as directed by the Finance Analysis team members and assist with presentationof analytical data reports-Kept abreast of New York Medicaid and Medicare reforms and their impact on Healthfirst and their owner hospital performance

-Applied statistical forecasting to estimate quarterly GDP in intellectual property-Summarized and presented economic trends in monthly review meetings- Constructed and tested quality adjusted price indices -Updated processing programs to reflect methodological best practices

-Conducted multivariate regression analysis on extensively large datasets-Researched statistical relation between insurance and mortality in NY-Created quantitative graphs to present findings to Economics Department Alumni Association-Tested results against multiple datasets for consistency -Evaluated relevant literature on healthcare economics

• Applies analytical abilities and diagnostic techniques for processing domestic and international transactions through industry technology platforms• Utilizes time management skills while researching and resolving processing inquires throughout their duration in order to adhere to strict settlement deadlines• Assists in effectively training new employees on standard processing procedures across domestic and international markets in order to convey a superior understanding of the processing analyst role• Responds to client inquiries by investigating any tactical issues through various processing platforms