
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.
Consumer Patterns
Price Optimization
Inventory Tracking, Projections
Location, Geographic Analysis
Opportunities for Growth, Expansion
Business, Budget Allocations
Competitor Landscape