Strategizes with executive leadership to identify and execute on opportunities to leverage BI (business intelligence) tools and methods to improve GPS. Leads efforts to foster a data-literate and -informed culture and plans secure, robust data democratization efforts. Leads a team of data engineers and analysts to gather, store, report, analyze, and model data from in-house software, on-prem. services, and external sources using BI and ML toolsets, delivering accurate, user-friendly solutions over tight time-tables.

Leads the BI department, which services other internal departments with powerful analytics tools and guidance to foster data-driven business operation. Provides insights from analytics tools and ML models to C-suite to guide company direction and to understand our market base and opportunities.

Performed ad hoc analyses and reports to support leadership in making data-driven decisions.Statistically analyzed results of pilot programs to understand risk/reward for full implementation.

Identified key opportunities to further BTECH’s goals by leveraging machine learning and answering decision-critical questions with data and analytics. Built contact-tracing and -reporting processes using Tableau and free/open-source tools before any COVID-19 cases on campus were confirmed, costing BTECH nothing while allowing real-time response to limit impact to students and faculty. Fostered a data-literate culture by training faculty and staff on the use and interpretation of interactive data dashboards and statistical test results, resulting in more questions asked and more initiative taken to improve the school at every level. Built custom tools using various APIs and data connections to automate and streamline time-consuming tasks, freeing up employees to spend less time "pushing papers" and more time improving the organization. Performed visual and statistical testing to identify potential obstacles to groups of interest for Diversity Specialist.

Democratized data with custom Tableau dashboards and personal training. Automated routine data tasks and database updates, imports, and checks via SQL procedures and Python scripts. Discussed and advised next steps to take advantage of ML opportunities and improve data collection, storage, and processing.

Mined and cleaned poorly organized, raw data from MS SQL Server database to filter, deduplicate, and verify 400,000+ clients by ROI and other criteria.