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Personalized Data Solutions

The VTThrift Project is an inventory prediction system using R Studio to analyze historical data and forecast future trends for clothing items.


It’s a structured approach to inventory forecasting, helping to identify trends and optimize stock management. I am able to work with any business to provide detailed data reports to help excel their business.


1. Setup: Reads randomized CSV inventory data, providing a statistical summary and declaring variables.

2. Data Combination: Groups past inventory data by month across different years (e.g., all January data) for predictive analysis.

3. Prediction: Uses past months’ data to estimate future inventory values (e.g., predicting shorts inventory for March based on prior years).

4. Visualization & Analysis: Generating residual plots and graphs to check model assumptions like normality, correspondence, and future projections.

5. Confidence Intervals: Provides upper and lower estimated values for inventory predictions across multiple months.

6. Correlation Analysis: Uses Spearman correlation to compare clothing items within a specific month, identifying relationships (positive, negative, or none).


Myriad can use a range of technologies to help with data analysis and visualizations - Tableau, R, Python, SAS, Excel.


By collaborating with your business or brand, I can uncover meaningful insights driven by your specific goals. This is just one example of how I leverage data analysis to deliver customized solutions across a wide range of focus areas.


  1. Consumer Patterns

  2. Price Optimization

  3. Inventory Tracking, Projections

  4. Location, Geographic Analysis

  5. Opportunities for Growth, Expansion

  6. Business, Budget Allocations

  7. Competitor Landscape

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