Project Name: Predicting the Quality Score of Wine Using Machine Learning
The project examines 11 quantitative features of red/white wine data sets from the Vihno Verde region of Portugal. Using the physicochemical features/breakdown of the wine, we built a predictive machine learning model with a target variable of quality score. Our insights, discoveries, and modeling offer a distinct advantage to wine producers/stakeholders/distributors by using a wine's chemical composition and predicting its associated quality score.
My passion for discovery, knowledge, and analysis is unmatched. My experience coupled with my technical background make me invaluable as a leader, team member, and individual contributor.
finding the patterns, solving the problems, and discovering the impact and implications of those efforts.
San Diego, CA
Forward-thinking , Articulate, and Energetic
Data Analysis, Strategic, Collaborative