Production responsibilities for commercial credit risk models. Data engineering, model execution and analysis, production automation, MIS, controls, documentation culture. CCAR, CECL, internal business forecasts.

• Managed both in-house and consultant teams. Specific attention to 1:1 skill development and mentorship. Weekly/daily stand ups. Implemented data- & skill- focused training, cross-department colloquiums, wikis.• Domain experience in credit exposure, credit risk (PD/LGD/EDF), CCAR/ECL, Basel capital, profitability, customer hierarchies, NAICS, geography, obligor financials, BSA/AML, securities, counterparty risk.• Technical expertise in analytics and story telling (SQL, pandas, IPython), data architecture, integration of new data sources, report-focused data structures, report delivery (SSRS, Tableau), query optimization.• Owned large-team lab environments. Drove development of production environments (BRDs, prioritization, budgeting). Built automated data quality suites/ dashboards and drove data remediation. Participated in cross-functional data governance.• Delivered analysis across LOB/management reporting, regulatory reports, consent orders/MRAs, quarterly earnings. Experience with internal audit.

• Analysis and accreditation reporting for top-tier research institute. Responsibility for database extraction, data QA, analysis and visualizations, 200-page annual report.• Regression model for state retirement administrators to understand participant retirement attitudes and deferral rates.• Full stack/python web app/Amazon API for journal-published sociology research investigating network effects.

Adjunct Professor:• Taught Statistics, Neuropsychology and various neuroscience courses to 700+ university students.Graduate Researcher:• Used linear mix-models to identify environmental dimensions that contribute to long- term memory in fear conditioning of mice.• Computer vision object tracking software (16K views on YouTube).• Setup hardware and programming for state-of-the-art TMS neurophysiology lab.• Programmed fMRI analysis, low-latency reaction experiments, kinetic tracking.• Mentored undergraduate volunteers.

• Analytics including customer segmentation, sales force optimization, marketing strategies.• Industry experience: Pharma/Biotech, Financial Services, Online Commerce, Wholesale.