* Created clustering and classification models (Sklearn) for high dimensional plastic components saving hundreds of engineering man-hours during new product development.* Developed and deployed a series of manufacturing optimization models (Gurobi) as full stack web applications (Flask/Nginx) to drive improved quality outcomes saving $1.5M annually.* Contributed to distribution network routing optimization (PuLP) projected to save $11M over the next 5 years.* Wrote and automated Python packages utilizing Snowflake-Snowpark and REST APIs to efficiently collect, clean, and warehouse diverse unstructured data, leading to enhanced data availability, and accuracy.* Utilized data visualization tools such as PowerBI, Seaborn, and Plotly to effectively communicate findings and insights to both technical and non-technical audiences.

• Developed Python module to drive ELT for firmware and pressure data. • Created algorithm that used transformed data to classify machine states. • Algorithmic classification saved 30 minutes per test compared to manual classification and 2-3 hours when troubleshooting failed tests. • Communicated results to nontechnical teammates with Matplotlib visualizations and Jupyter Notebooks.

● Supervise a team of 15-20 staff to ensure high quality customer service at all times.● Provide support to staff during high-traffic times by identifying the team’s needs to facilitate efficient service.● Achieve optimal margins by managing staff schedules, monitoring sales, and reducing staffing asappropriate.

● Ensured safe operation of nuclear reactor at a training site by providing continuous instrumentation monitoring and valve and control rod operation.● Maintained and troubleshot electronics involved in the reactor control system and related safety systems.● Operated reactor during casualty simulations to ensure timely and correct response of the Engineering team.