LYNN RUCH

Data Analytics | Process Automation | Supply Chain | Data Visualization

Turning complex data into practical solutions by combining analytics, systems expertise, and operational experience to solve real business problems and drive measurable results.

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Turning data into what's next.

University of Pittsburgh sign with the Cathedral of Learning in the background

ABOUT ME

My experience across supply chain, logistics, systems integration, sales operations, and analytics gives me a broad understanding of how people, processes, systems, and data work together across an organization. That perspective allows me to look beyond the immediate data problem, understand the larger operational picture, and identify solutions that address both the details and the business need behind them.

Data-Driven
Process Focused
Solution Oriented
Continuous Learner

IN PROGRESS

M.S. Data Science

University of Pittsburgh

GPA 4.0 • Expected December 2027

COMPLETED

B.A. Liberal Studies

Jacksonville State University

KEY IMPACT

Turning recurring operational work into faster, scalable processes.

220+

North American Sales Representatives Supported

Xactly Incent administration, territories, quotas & compensation

4 hrs → 5 min

Monthly Data Processing Workflow

Access macros & sequenced SQL queries

1 hr → 5 min

Recurring Compensation Adjustments

Python scripting eliminated monthly manual processing

~3,960 hrs/year

Manual Reporting Time Eliminated

Power BI replaced monthly Xactly transactional data exports, Excel templates & pivot-table reporting for 220+ users

SELECTED PROJECTS

A few examples of how I use data, analytics, and automation to solve real-world problems.

Automated manufacturing facility with industrial robotic equipment

Manufacturing Data Integration & Operational Analysis

Integrated five manufacturing datasets to identify patterns in machine operating conditions across batches, machines, and suppliers, then used KMeans clustering to identify operating profiles associated with substantially different product failure rates.

Python • Pandas • scikit-learn • Data Visualization • KMeans Clustering

View Full Analysis →
Fish fry meal with battered fish, french fries, and sides

Western Pennsylvania Fish Fry Locator

Cleaned and standardized public-source data for 216 Western Pennsylvania fish fry locations, then built an interactive Tableau dashboard with geographic mapping, dynamic filtering, and cross-filtering between visualizations.

Tableau • Data Visualization • Geographic Visualization

View Project on GitHub →
Headphones beside music records and a laptop displaying music data analysis

Spotify Music Popularity Analysis

Analyzed 28,000+ Spotify tracks using exploratory analysis, KMeans clustering, PCA, and logistic regression to evaluate how genre and audio characteristics relate to song popularity.

Python • Pandas • scikit-learn • KMeans • PCA • Logistic Regression

View Full Analysis →
Data engineering workspace overlooking a modern pet retail sales floor

Pet Emporium Data Platform

IN PROGRESS

Building a simulated retail data platform to develop hands-on data engineering skills, beginning with a PostgreSQL relational database and expanding into Python-based data ingestion and workflow orchestration.

PostgreSQL • SQL • Python • Docker* • Apache Airflow*

*Planned as project progresses