Professional Summary
MSBA candidate at UW Foster with applied experience designing a 576K-user A/B test using heterogeneous treatment effect analysis and geo-experiment causal inference. Work spans ETL pipelines processing 2M+ daily records, predictive modeling across 125K+ customer accounts, and operational dashboards that cut decision latency from 48 to 15 hours. Targeting product analyst and BI roles where experimentation rigor and data infrastructure depth drive growth decisions.
Experience

Business Data Analyst
Re-Systems Group Americas · Coon Rapids, MN
- Wrote complex SQL queries with window functions and CTEs to surface delivery-bottleneck cohorts across 55+ projects, replacing manual Excel pulls and enabling executives to act on a single source of truth for 28 product health KPIs across $3.45M in active projects.
- Built ETL pipelines processing 2M+ daily records from multiple operational sources, creating data instrumentation infrastructure that downstream cohort analysis and self-serve reporting depends on, cutting manual pre-processing by 65%. (Python, PostgreSQL)
- Contributed to vendor risk analysis (Random Forest) across 75K+ transactions, surfacing high-risk patterns that informed contract negotiations. (Python, scikit-learn)

Business Solutions Analyst
PC Connection, Inc. · Minneapolis, MN
- Identified user lifecycle cohorts and high-response segments by running clustering analysis across 125K+ customer accounts, directly informing territory reassignments that contributed to $487K in incremental revenue and an 11% lift in sales productivity. (SQL, K-means, Power BI)
- Built time-series forecasting models with behavioral-signal anomaly alerting across 3 regions and 300+ SKUs, achieving 18% MAPE and supporting decisions that prevented an estimated $1.3M in lost sales. (Python, Prophet, ARIMA)
- Automated 47 recurring reports processing 3M+ monthly transactions, giving cross-functional teams self-service access to insights and cutting executive decision latency from 48 to 15 hours. (Python, Tableau, PostgreSQL)

Logistics Operations Analyst
Total Quality Logistics · Minneapolis, MN
- Improved on-time delivery from 71% to 94% by building predictive dashboards analyzing 250K+ daily shipments across 6 distribution centers, reducing customer complaints by 67%. (Tableau, SQL)
- Automated carrier scorecards assessing 200+ vendors on 15 KPIs, reducing the evaluation cycle from 2 weeks to 5 days and contributing to $520K in contract negotiation savings. (VBA, SQL, Power Query)
MS Business Analytics — Product Analytics & Experimentation
University of Washington, Foster School of Business · GPA 3.85 (Top 10%)
Projects
Airport Baggage Analysis
Live on GitHubEDA and probability analysis of airline baggage delivery times across ~99K real flights.
Zillow Housing Analysis
Live on GitHubEDA, feature engineering, and ZHVI price prediction across 1,406 West Coast cities over 10 years.
Direct Mail Response Analysis
Live on GitHubEDA and predictive response modeling for a direct mail campaign across 100K customer records.
A/B Test Design & Cohort Segmentation (576K-User Campaign)
Academic ProjectDesigned and analyzed a randomized controlled experiment across 576K users. Power calculations, balance checks, post-hoc segmentation for ITT and ATT effects. Detected heterogeneous treatment effects — inactive users showed 2.2% lift, non-American users 3.67%, while active/domestic users showed no effect.
Geo-Experiment & Causal Lift Measurement
Academic ProjectAnalyzed a randomized geo-experiment across 200 U.S. markets applying DiD with DMA and time fixed effects to isolate causal advertising lift vs. naive last-click attribution.
PortfolioSense
Deploying SoonStock portfolio monitoring agent with automated alerts, technical indicators, and a self-serve Streamlit dashboard.
Voir Dire — Agentic Job Scoring Pipeline
Deploying SoonAgentic job application filter with 3-gate scoring (sponsorship → fit → resume tailoring). Sniper approach: quality over volume.
Football Transfer Intelligence Platform
Deploying SoonEnd-to-end ML system for football transfer market analysis: web scraping → S3 → Airflow → Databricks → MLflow → Kafka → Streamlit/Tableau.
