WORK EXPERIENCE

TriNet USA Inc.

Automated error detection within the company’s claims database system encompassing more than 500 million claims records.
Developed analytics dashboards in Tableau for executive leaders to use during quarterly financial performance and investor calls.
Spearheaded the development of business-critical client reports in Tableau which streamlined operations by replacing manual processes and reducing approximately 2 weeks of manual report creation.
Led the successful onboarding of two colleagues into the informatics engineering division, enabling them to be self-sufficient in executing monthly duties and deliverables.
Implemented an automated ticketing system using MS Power Automate and MS Forms to centrally track data quality issue requests and resolutions. Resulting in a reduction of 2-3 hours per day in manual documentation.
Saved the team 3 full days of data validation by developing a comprehensive data quality dashboard that reconciled insurance claims data from over 10 different insurance carriers within the company’s clinical claims database.
Supported company-wide initiatives in client retention and reporting to successfully meet quarterly business unit goals, resulting in the department’s achievement of company-wide recognition.
Created Email to data store ticketing system to track data quality issue requests and resolution in a centralized source.
Developed reports in Tableau, which reduced report creation by about 2 weeks.

Implemented data audit, and quality assurance reports for customer datasets and dashboards, using Python, R and SQL Server.
Complex data analysis, ad hoc reporting, data mining, and pattern and trend analysis.
Developed algorithm for treatment exposure identification
Created automation pipeline for accessing data stored in various data management systems such as AWS S3 and SQL relational databases
Established Bitbucket source control account and led training for colleagues

Conducted statistical analysis for various on for various teams including legal, compliance, Marketing and medical affairs
Reviewed, analyzed, and interpreted study results, including exploratory endpoints, and assuring appropriate data review and accurate data reporting

Supported predictive analytics by utilizing variety of tools (SAS, SAS Visual Analytics, Microsoft Power BI, R) and other BI/ tools to respond to the analytical needs around student success metrics.
Collected, prepared, and analyzed data and created reports on student success related studies
Assisted staff within Office of Decision Support to communicate findings via various presentation formats (written reports, white papers, PowerPoint presentations, Excel files, dashboards, other visualizations)