Halle Gray

Bridging the gap between raw data and business strategy.

I am a Statistics major with a Business minor at Texas A&M University, currently preparing to enter the professional world in Spring 2027. I specialize in taking complex datasets and translating them into actionable insights that help businesses make smarter decisions.

Statistics tells us where we've been, but business strategy tells us where we’re going. I thrive on bridging that gap. Whether I’m analyzing consumer behavior or optimizing a supply chain, my focus is on turning raw data into a clear competitive advantage. I’m looking for a full-time opportunities where I can help a team translate historical data into a reliable roadmap for the future.

 

Applying statistical rigor and business strategy to solve real-world problems. Explore my latest work in data modeling, market analysis, and visualization.

About this Portfolio

A collection of projects where I've put my coursework into practice. Each one represents a unique challenge in data analysis, statistical inference, or business optimization.

Published Projects

E-COMMERCE DATA CASE STUDY

A deep-dive analysis of 7,000+ transactions, transforming raw data into actionable business strategy. Using advanced Excel modeling, I identified key revenue drivers and consumer behavior patterns to optimize growth. 

Key Highlights

  • Data Cleaning: Cleaned and categorized 7,000+ rows of raw transaction data.
  • Expense Efficiency: Identifies product categories with the highest overhead-to-revenue ratio.
  • Strategic Recommendation: Proposed a "Product Pruning" strategy to reallocate budge toward top-performing segments.

SUPPLY CHAIN HEALTH & SUPPLIER RISK ANALYSIS

An end-to-end Power BI tracking system designed to bridge the gap between procurement lead times and sales velocity. This project identified critical "stockout" risks for high-revenue items while flagging supplier inefficiencies that directly impact the bottom line.

Key Highlights

  • Automated Logic Engine: Developed complex, nested DAX measures to categorize 100 SKUs in real-time using dynamic ABC Analysis and Economic Order Quantity (EOQ) formulas.

  • Prescriptive Strategy: Built a "Strategic Action" layer that transforms raw data into specific management instructions, such as flagging items for supplier audits or immediate reordering.

  • Operational Efficiency: By moving the business logic entirely into the DAX layer, I reduced manual data preparation by 100%, allowing the supply chain team to focus on execution rather than spreadsheet management.

  • Revenue Protection: Pinpointed 10 high-performing skincare SKUs at immediate risk of stockouts, representing a critical portion of total Class A revenue.

Skills & Expertise

Statistical Modeling

Applying regression analysis, hypothesis testing, and ANOVA to extract meaning from noise. Proficient in R for complex data manipulation and statistical inference.

Data Visualization

Transforming datasets into clear, actionable stories. Experienced in building interactive Power BI dashboards and custom visual reports using ggplot2 in R.

Programming & Scripting

Leveraging Python and SQL to automate data workflows. Skilled in using libraries like Pandas and NumPy for efficient data cleaning and explanatory analysis.

Predictive Analysis

Exploring supervised learning models to forecast market trends. Currently developing a Price Optimization project using multiple linear regression and time-series forecasting.

Quantitative Analysis

Specialized in business optimization through the lens of high-level mathematics. Analyzed 7,000+ transactions to identify and eliminate hidden revenue leaks, streamlining financial health.

Technical Reporting

Translating 'data-speak' into executive-level insights. Skilled in using DAX in Power BI and Excel to deliver concise summaries that bridge the gap between stats and strategy.

Let's Connect

I am currently seeking full-time opportunities following my graduation in Spring 2027. If you're looking for a data-driven mind to help solve your next business challenge, I'd love to chat.

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