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About Me.

I started my career on the product side, managing product lines, running pricing analysis, and building marketing programs at Parts Express, a consumer electronics company in Dayton, Ohio. Along the way, I realized the part I found most interesting was the data: building the models, designing the segmentation frameworks, writing the NLP pipelines that turned messy survey data into something actionable.

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That led me to pursue a Master of Business Analytics at the University of Dayton (2022-2024), where our capstone team won Best Project across the program for an inventory optimization project at Copeland.

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In 2023, I joined Empire Auto Parts as their first business analyst, which meant building the entire analytics infrastructure from scratch with the IT team. I designed the semantic models, star and snowflake schemas, KPI frameworks, and data transformations that now power reporting for the PE board, C-suite, GMs, and 30+ sales reps. I also built analytical programs that the business runs on: customer lifecycle segmentation, Price/Volume/Mix decomposition, and deal performance tracking.

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Outside of work, I designed and built BenchSight, a full-stack hockey analytics platform. It's the clearest proof I have that I think like an analytics product owner, not just an analyst. I defined every table, every metric, every product decision across a 140-table data warehouse and 50+ page dashboard. 

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I live in Colorado Springs, CO. I'm a devout hockey fan, and I've played since I was 5. I've run a marathon and finished the Pikes Peak Ascent. I'm passionate about the intersection of technical depth and the delivery of actionable insight.

Work Experience

Empire Auto Parts

Business Analyst (BI Architecture & Analytics)

PE-backed aftermarket auto collision parts distributor | 7+ distribution centers | 1,000+ employees

| Remote | Colorado Springs

Platform & Infrastructure

  • Built the sales BI/analytics infrastructure as the first person hired into this role: no existing models, no data dictionary, no reporting standards

  • Designed a self-service Power BI platform using star and snowflake schema, semantic modeling, DAX measures, Power Query transformations, and SQL views 

  • Developed the most used sales analytics tool in the company that has been relied on by PE Partners, C-Suite, Executives, GMs, and the sales force

  • Guided and influenced the BI roadmap with the IT department; provided architecture input on DataMart construction from ERP systems

  • Built QGIS-based geospatial models for territory planning and distribution center optimization

| 2023 - Present

Analytics & Decision Support

  • Co-built a Revenue Intelligence framework with the VP of Finance and PE board, including Price/Volume/Mix decomposition, customer lifecycle segmentation (new, lost, re-engaged, dormant), sliceable at customer, SKU, and other attributes

  • Built a deal performance tool comparing pre/post-discount sales by customer, flagging deals that missed volume targets

  • Built a discount profitability model using OPEX-inclusive break-even analysis; presented framework and sensitivity analysis directly to the executive team

  • Built a distribution network scoring model pulling from 4 data sources, which has been used for expansion and DC optimization decisions

  • Developed and implemented strategic KPIs for operations and sales teams

  • Collaborated with IT on A/B testing; wrote an ML program in R to identify customers most likely to purchase 

  • Developing an external market intelligence layer correlating vendor price feeds with internal transaction data to surface pricing signals and market share shifts

  • Delivered monthly narrative commentary to the PE board and C-suite, explaining drivers behind metric movements, not just charts, but written analysis with clear recommendations

Data Quality & Governance

  • Bootstrapped data quality governance, which identified and traced root causes of data inconsistencies across ERP and BI systems

  • Authored the organization's first data dictionary with full metric definitions, source documentation, and calculation logic

  • Developing a Python entity resolution pipeline to reconcile duplicate customer records created by address changes across the ERP

Parts Express

Product Marketing Manager

Consumer audio electronics | ~100 employees 

| Dayton, OH

Analytics & Intelligence

  • Built customer intelligence programs using NLP-based sentiment analysis, survey text classification, and social analytics using Python and R pipelines processing reviews, surveys, Google Trends, and social media into actionable product signals

  • Built a web scraping tool in Python to monitor competitor pricing, reviews, and product information from Google Shopping, which was used for pricing and product strategy decisions

  • Built multivariable logistic regression model for price optimization

  • Designed segmented customer surveys by customer type and product purchased; translated findings into product and marketing decisions

  • Ran market gap analysis to identify new product opportunities; delivered competitive analysis and recommendations to executive leadership

  • Co-led implementation of the company's first BI platform in Power BI; created interactive dashboards for company-wide use

  • Built customer segmentation classifications and sales forecasting models

| 2020 - 2023

Strategy & Leadership

  • Ran company-wide strategic planning 

  • Ran a bottoms-up planning process using cultural engineering and design thinking across all departments, producing near-term and 5-year strategic plans

  • Met with 100+ employees across all departments to build the strategic plan, managed the planning, progress/tasks, and overall direction of the strategic planning process

  • Led company-wide OKR framework rollout, including customer/market studies, competitive intelligence, and cross-departmental alignment

  • Main driver in developing the company's data strategy

  • Managed 2 direct reports, and 

  • Built a project management system across marketing and product, which is still in use after departure

Product Line Manager

| Dayton, OH

| 2016 - 2020

  • Owned P&L and product portfolio across multiple product lines-

  • Supervised marketing, product development, and KPI tracking for individual products

  • Managed pricing strategy, competitive analysis, and go-to-market execution

  • Created marketing assets with the advertising team — website, social media, email, print

  • Worked cross-functionally with sourcing, engineering, and marketing

  • Ensured product lines exceeded quarterly sales and ROI goals

Education

University of Dayton 

MS Business Analytics | 2024

33-credit hybrid MBA + data science program.

 

Capstone:

Inventory Optimization for Copeland (Emerson) — team leader, primary industry contact. Recognized as Best Capstone Project for 2024

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Coursework:

  • Machine Learning (BAN 614) | R: Linear/logistic/ridge/lasso regression, Naive Bayes, LDA/QDA, decision trees, PCA, K-Means, hierarchical clustering, cross-validation, bootstrapping 

  • Advanced Analytics (BAN 618) | Python: Linear programming (PuLP, OR-Tools), integer programming, transportation/assignment, goal programming, network models (NetworkX), heuristics (TSP), dynamic programming, branch & bound 

  • Advanced BI (MIS 667A) | Tableau: Operational/strategic/tactical BI dashboards. Python: Dash, Plotly 

  • Data Management (MIS 664A) | SQL: CRUD, dimensional + normalized modeling. Python: Pandas, data wrangling. NoSQL, cloud DBs, data warehouses 

  • Special Topics / NLP (MIS 668A) | R: Social network analysis, text mining, sentiment analysis, NLP, topic modeling (LDA), document categorization. Tools: NodeXL, LIWC, Weka 

  • Statistics (BAN 611) | Excel: Descriptive stats, probability, confidence intervals, 6 hypothesis test types, regression 

  • Business Analytics (BAN 791) | Excel/Python: LP models, sensitivity analysis, Monte Carlo simulation, integer/binary LP 

University of Dayton 

BS Communications | 2012

Skills

Data & Engineering

  • Dimensional Data Modeling (star schema, snowflake schema)

  • Semantic Modeling, KPI Definition, Data Dictionary Development

  • ETL Pipeline Design and Implementation

  • SQL (views, CTEs, window functions, JOINs, aggregations)

  • PostgreSQL, Supabase, MySQL

  • Python (pandas, NumPy, regex, NLP libraries)

  • R (ML algorithms, statistical modeling, NLP)

  • Data Quality Governance and Root Cause Analysis

  • Entity Resolution

Analytics & BI

  • Semantic Modeling

  • Power BI (DAX, Power Query, semantic models, star schema design)

  • Tableau (operational, strategic, tactical dashboards)

  • Revenue Analytics, Price/Volume/Mix Analysis

  • Customer Segmentation and Lifecycle Analysis

  • Self-Service BI Architecture

  • QGIS (geospatial analysis, territory planning)

  • Google Analytics, Klaviyo

Machine Learning & Advanced Analytics

  • Regression: Linear, Logistic, Ridge, Lasso

  • Classification: Decision Trees, Random Forest, Naive Bayes, LDA, QDA

  • Clustering: K-Means, Hierarchical, PCA

  • Optimization: Linear Programming, Integer Programming, Dynamic Programming, Monte Carlo Simulation

  • NLP: Sentiment Analysis, Text Classification, Topic Modeling (LDA), Social Network Analysis

  • Statistical Methods: Hypothesis Testing (6 types), Bootstrap Resampling, Cross-Validation, Confidence Intervals

  • Web Scraping (Python)

Tools & Platforms

  • Git/GitHub, GitHub Actions

  • Vercel, Railway, Postgres

Strategy & Leadership

  • Strategic Planning (OKR Framework)

  • Executive Communication (PE board, C-suite, board-level)

  • Cross-functional Leadership

  • Direct People Management (2 direct reports)

  • Stakeholder Influence and Analytics Training
     

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