Summary
Recent business analytics graduate with hands-on experience in SQL, Python, and Tableau through 2 internships and 4 self-directed data projects. Ranked in the top 10% of my graduating cohort and completed a thesis on supply chain demand forecasting using machine learning. Eager to contribute analytical thinking and data storytelling skills in an entry-level business analyst or data analyst role.
Education
Bachelor of Business Administration, Business Analytics
May 2024
Georgia State University, J. Mack Robinson College of Business · Atlanta, GA
GPA: 3.85/4.0 · Honors: Magna Cum Laude, Dean's List (8 semesters)
Relevant Coursework: Business Statistics, Database Management (SQL), Machine Learning for Business, Data Visualization, Supply Chain Analytics, Financial Modeling
Thesis: "Predicting Retail Inventory Stockouts Using Gradient Boosting Models" — Achieved 89% prediction accuracy on 3-year dataset of 50,000 SKUs
Internship Experience
NCR Corporation · Atlanta, GA
- Built and maintained 4 Tableau dashboards tracking customer churn metrics for the retail product division; dashboards used weekly by 12 account managers.
- Wrote 15+ SQL queries to analyze customer engagement data across 3 product lines; identified cohort with 23% higher churn risk, enabling targeted retention outreach.
- Automated weekly reporting process using Python (pandas), saving 4 hours of manual work per week for the data team.
- Presented analysis findings to director-level stakeholders in 2 quarterly business reviews.
Home Depot (Corporate Strategy) · Atlanta, GA
- Supported a 3-person team analyzing store performance metrics across 2,300 US locations; contributed to a cost optimization analysis that identified $1.2M in potential savings.
- Created Excel-based financial models to forecast seasonal staffing demand for 5 pilot store locations.
- Conducted competitive benchmarking analysis of 8 home improvement retailers across 12 service categories.
Projects
Scraped 14,000 product reviews from 3 e-commerce platforms, ran NLP sentiment analysis, and built a live Tableau dashboard highlighting brand reputation trends. Identified product categories with declining sentiment before rating drops. github.com/athompson-data/sentiment-dash
Built a regression model predicting Atlanta home prices using 22 features (location, size, school ratings, crime index). Achieved R² of 0.87 on test set. Deployed as a public Streamlit app with 400+ unique visitors. athompson-housing.streamlit.app
Skills
AnalyticsSQL (PostgreSQL, MySQL), Python (pandas, numpy, scikit-learn), R (basic)
VisualizationTableau, Power BI, Excel (Advanced: Pivot Tables, VLOOKUP, Power Query)
Tools & MethodsGit/GitHub, Google Analytics, A/B Testing, Linear Regression, Clustering
Leadership & Honors
Analytics Club President (2022–23) — grew membership from 40 to 120 students; organized 6 industry speaker events.
INFORMS Student Chapter Member — represented GSU at national analytics competition, placed 3rd out of 62 teams.
National Merit Scholarship Recipient (2020)
Volunteer Data Analyst, Atlanta Community Food Bank — analyzed donation patterns to help optimize distribution routes.