David
Jorgensen
I lead data science and ML engineering initiatives that bridge production architecture, statistical rigor, and strategic impact. Currently modernizing enterprise analytics and agentic AI workflows at Rocket Mortgage; completing an M.S. in Data Science.
Resume
Skills
Leadership & Architecture
MLOps System Design, Enterprise Data Governance, Experimentation Strategy (A/B Testing), Executive Briefings & Stakeholder Management
Machine Learning & Production AI
ONNX Runtime (<2ms latency), Scikit-Learn, LightGBM, CatBoost, Agentic AI / LLM Orchestration, Linear Programming (SciPy Simplex)
Econometrics & Statistical Modeling
Fixed-Effects Panel Regression, Quantile Regression, Hurdle Time Series, Permutation Testing, Survival Analysis, Geospatial GIS (GeoPandas, Folium)
Data Engineering & Platforms
Python, DuckDB, SQL, BigQuery, Parquet, Docker, FastAPI, Twilio Segment, Amplitude, Optimizely, SQLite 3NF
Experience
Spearheaded enterprise customer data architecture modernization, migrating multi-million visitor properties from Adobe Experience Platform (AEP) to Twilio Segment, Amplitude, and Optimizely. Operationalized autonomous agentic AI workflows and LLM orchestration pipelines to automate data verification, tagging QA, and reporting cycles.
Directed technical analytics architecture for 20+ enterprise GA4 migrations with BigQuery export pipelines. Mitigated $500K+ in regulatory privacy compliance liabilities (GDPR/CCPA) by enforcing automated consent frameworks via OneTrust and Google Consent Mode. Subject Matter Expert servicing Google Analytics, GTM, and BigQuery for Google Partner enterprise accounts.
Architected proprietary cross-platform identity resolution system linking advertising exposures to downstream product conversions, establishing multi-touch attribution and granular ROAS analytics in Power BI. Directed analytics and tag management transition during corporate transformation to a GDPR-compliant subscription storefront.