About

Work Experience

• Data Scientist, Omnigence Asset Management

  Jul, 2025 - Present

  Partner with portfolio companies as internal data consultant, building BI infrastructure, dashboards, and data pipelines across consumer retail brands managing $1B+ in assets.

  • Architected and optimized BI platform (Domo) data infrastructure, reducing compute costs by 30-40% (~$100K+ annual savings) by refactoring dataflows, eliminating duplicate datasets, and implementing best-practice data modeling patterns.

  • Established data governance framework and semantic layer standards across the organization, improving data quality, discoverability, and self-serve analytics adoption.

  • Built executive dashboard consolidating sales data from 50+ franchise locations, CRM systems, and Google Maps API - enabling daily operational insights for portfolio company leadership.

  • Designed and implemented customer data warehouses for multiple portfolio companies, auditing and integrating disparate operational systems to enable measurement and reporting capabilities.

  • Developed digital marketing measurement framework and analytics dashboards, driving 300% increase in qualified investor leads through data-driven optimizations.

• Marketing Science Senior Analyst, Critical Mass

  Nov, 2020 - Jun, 20254 years 7 months

  Promoted 3x in 4.5 years (Associate Analyst → Analyst → Senior Analyst). Built data products, pipelines, and dashboards for Fortune 500 clients including BMW USA and Nike, partnering directly with client executives and cross-functional teams.

  • Re-architected BMW USA's media tracking taxonomy and data pipeline, designing dimensional data model and automated ETL processes that reduced manual analyst effort by 80% (from 10-12 hours/week to 2 hours) and improved tracking coverage from 15% to 60%.

  • Built and maintained executive dashboard suite for BMW USA seasonal sales events ($15-20M budget per event), owning end-to-end BI solution from stakeholder requirements gathering through dashboard delivery and C-suite presentations.

  • Designed self-serve analytics platform (Catalyst) for internal new business team, creating reusable data models and automated reporting that reduced analysis turnaround time by 60-70% and enabled non-technical users to generate insights independently.

  • Developed multi-tier dashboard solution for Nissan USA consolidating dealership-level website performance data across national footprint, serving as sole technical resource on complex, multi-month BI implementation.

  • Led experimentation and A/B testing program for Nike USA, executing 90+ tests with rigorous statistical methodology while building automated dashboards and Python tools for stat-sig interpretation and test result synthesis.

  • Selected as primary client-facing analyst for BMW USA and Nike due to ability to translate complex technical analyses into clear, actionable executive insights - frequently presenting directly to VP and C-level stakeholders.

  • Built automated correspondence analysis pipeline in Python for market research team, reducing manual Excel-based modeling effort by 60-70% for new business pitches.

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