Project Name: Attention Walmart Shoppers
The retail stores are facing a challenge due to unforeseen demands and run out of stock. Our four-member team built a model that can forecast demand for the following week. This model can help managers maintain proper inventory levels and increase profits for the store, thus increasing the customer experience. We used Walmart retail data acquired from Kaggle. After extensively cleaning and prepping the data, we were able to create a 2nd-degree polynomial regression model that outperformed our baseline RMSE by 29%.
I am a detail-oriented Data Scientist who naturally craves diving deeper into data in search of insights that have real-world applications.
Extracting meaningful insights from raw data using a combination of domain expertise, programming skills, and knowledge of mathematics and statistics.
Remote , San Antonio TX
Detail-oriented, Work ethics, Adaptable
Problem-solving, Team environment, Continuous learning.