Reese Langley

• Built weekly sales dashboards in Tableau, giving merchandising leaders a consistent view of revenue, mix, and inventory trends. • Used SQL to deliver cohort and retention pulls across 50K+ customer records, surfacing repeat-purchase opportunities. • Produced A/B readouts for email campaigns and translated lift, confidence, and segment results into stakeholder-friendly recommendations. • Cut recurring reporting time by 35% through reusable queries, documented definitions, and automated refresh checks. • Partnered with merchandising to turn ad hoc questions into measurable analyses and action plans.

• Built Excel and Power Query pipelines that standardized weekly files and reduced manual reconciliation by 25%. • Performed exploratory analysis on fraud flags, segmenting patterns for review by risk analysts. • Automated monthly board-deck extracts, saving roughly 8 hours per reporting cycle and improving consistency. • Documented a practical data dictionary covering field definitions, sources, and known quality checks.

• Cleaned and validated survey datasets in Python/pandas, resolving duplicates and inconsistent coding across 12K+ responses. • Built clear visualizations for faculty research papers, helping translate findings for academic and non-technical audiences. • Performed QA on CSV imports and created repeatable checks for missing values, schema drift, and outliers.

Relevant coursework: Statistics, Database Management, Data Visualization, Marketing Analytics. Google Data Analytics Certificate; Tableau Desktop Specialist (fictional).