Hi, I'm Tyler Campbell

Data Science Graduate Student

Specializing in SQL, analytics, and operational optimization with hands-on experience building dashboards, applications, and predictive models.

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Tyler Campbell

About Me

I'm a Data Science graduate student at Texas Tech University with a strong foundation in economics and practical experience in retail operations leadership. My unique background combines technical expertise in data analytics with real-world business acumen.

Currently, I'm pursuing my MSc in Data Science while working as a Graduate Assistant for Database Management Systems, where I support students in SQL and relational database design. I also lead operations for a team of 200+ at H-E-B, applying data-driven insights to optimize efficiency and performance.

I'm passionate about transforming complex data into actionable insights and building tools that empower decision-makers to drive meaningful results.

3.75
Graduate GPA
200+
Team Members Led
5+
Years Experience

Experience

January 2022 - Present

eStore Leader

H-E-B, Lubbock

  • Lead and manage operations for a team of 200+ partners in a high-volume retail environment
  • Apply data analysis to optimize labor efficiency, productivity, and workflow performance
  • Develop internal applications and dashboards using Tableau and Power BI to track performance metrics
  • Translate operational data into actionable insights to support leadership decision-making
January 2026 - Present

Graduate Assistant - Database Management Systems

Texas Tech University

  • Support undergraduate students in SQL querying, relational database design, and core database concepts
  • Grade assignments, exams, and projects focused on SQL and database management
  • Hold office hours to provide individualized academic support and technical clarification

Education

MSc Data Science

Texas Tech University

June 2025 - May 2026

GPA: 3.75

Lubbock, TX

Bachelor of Economics

Texas Tech University

August 2021 - May 2025

GPA: 3.78

Lubbock, TX

Skills & Technologies

Programming & Analytics

Python R SQL

Data Science

Statistical Analysis Machine Learning Multivariate Analysis Simulation & Optimization

Data & BI Tools

Tableau Power BI Business Intelligence Tools

Analytics Methods

Data Visualization Sentiment Analysis Predictive Modeling

Featured Projects

Labor Hours Planner

Linear programming-based labor optimization model to determine minimum labor hours required to meet projected daily demand. Minimizes total labor cost subject to production capacity constraints with adjustable cushion for demand uncertainty and staffing variability.

Linear Programming JavaScript Optimization
View Live App

Curbside Multivariate Analysis

Analysis in R using worker productivity data to determine what explains variation in productivity. Applied multivariate statistical techniques to identify key performance drivers.

R Statistical Analysis Multivariate Analysis

Worker Coaching ML Classification

Classification project in R to classify new Partners as needing to be coached or not based on productivity. Implemented machine learning models to support team development decisions.

R Machine Learning Classification

Curbside Dashboard App

Application with MySQL database that leads use to track workers needed and actual worker count with a built-in Tableau Dashboard to reflect on previous day performance.

MySQL Tableau Dashboard

Get In Touch

I'm always interested in new opportunities and collaborations. Feel free to reach out if you'd like to connect!

Location

Lubbock, TX