Owen Harrington-Woodard Email & Phone Number

Gather detailed business requirements and use cases, then configure product settings and develop a success plan to meet client needs.Design, produce, and lead client training sessions and written documentation to drive user adoption of key features and drive retention.Review existing client use cases and client health metrics in coordination with account management to identify up-sell opportunities and churn risk.

Remote

Learned Python, SQL, applied statistics, and machine learning. Developed skills in data collection, wrangling, and visualization. Coursework included structured classes and assignments as well as self directed projects with advise and oversight from an industry mentor.Projects:Predicting the Price of Used Cars-Used Google Cloud Platform, Dask JupyterHub and SSH tunneling to reduce training time from > 12 hours on a local machine to < 30 minutes, allowing faster comparison and tuning of models during model selection.-Used a dataset of over 3 million rows to create a price prediction tool with a mean absolute percentage error of 9.1% using only a few key features.Clustering FIFA Players-Deployed machine learning techniques including K-Means and PCA, to identify meaningful clusters of players.-Analyzed and labeled the clusters using multivariate regression analysis, to turn model output into actionable insights for hiring managers.-Presented the results of the analysis using insightful visualizations a panel of stakeholders.Predicting Bike Share Equipment Inactivity-Tested a variety of classification models including Random Forest, SVM, Logistic Regression and XGBoost.-Aggregated a dataset of over 3 million rows deploying feature engineering techniques to reduce the dimensions of the data while retaining key information, lowering training time.-Utilized open data source and automated collection of regularly released reports.

- Managed a team of 3 other cooks during high volume brunch service for 150-250 guests daily.- Led weekly meetings with servers and front of house management to ensure all team members were familiar with the menu and had all relevant information to ensure a smooth guest experience.- Coordinated closely with the executive chef to plan the menu and develop specials.- Owned production process during the week in advance of weekend service.- Responsible for ordering produce and other ingredients necessary for production.

Washington, Dc

-Worked a rotating station assignment on a team of 5 cooks serving 150-200 people daily. -Responsible for learning new dishes and techniques on a daily basis.-Maintained high standards of quality and consistency of dishes produced across a team of cooks.- Provided excellent customer service and a seamless guest experience in guest facing roles.

- Excelled on fast paced teams in small and medium sized establishments serving between 40-100 guests daily.- Worked in several open kitchens, involving direct guest interaction while cooking including describing dishes and techniques in real time as they are prepared.-Used culinary knowledge to provide feedback during dish prototyping and to propose, develop, and test new dishes.- Extensive experience with seafood butchery and preparation.