I’m an experienced data professional with a ton of drive. I love to solve problems of all sorts, which means I’m often learning in areas outside of my position. I’m passionate about building holistic solutions that deliver value for everyone involved. I’m exceptionally talented at rescuing wayward projects, “running with it”, and finding solutions to problems before they’re fully known. I’m currently working in Google Cloud, learning in AWS, and delivering intelligent data solutions with the Pricing/Finance Teams at Avery Dennison.
Master of Science - Data Analytics, 2019
Western Governors University
Bachelor of Science - Biology, 2013
Cleveland State University
Engineered an ETL pipeline for mass price changes via Python, REST API and SQL to create a full end to end mass price change process. Transformation done using Pandas/Dask - coding samples available.
R was used to predict employee attrition based on IBM data. Report details data cleansing, classification (Chi-Square,Pearson Correlation), feature selection(Random Forest), Prediction (Support Vector Machines, Logistic Regression, Random Forest, Neural Networks, Decision Trees). Model performance was measured using AUC (area under the ROC curve) to account for sensitivity and specificity.