• Discovered key variables in raw materials using Python to build machine learning models in for drug production analysis• Produced interactive data visualizations using Power Query and DAX of entire Manufacturing Factory contamination data in PowerBI, saving the factory 500 hours and 35,000 dollars a year in trend analysis and process meetings• Adopted ETL processes in data extraction and consolidation through SnowFlake and Dataiku using Python and SQL to reduce delivery time and redundancy from source to warehouse• Built a front-end valve maintenance app using PowerFX in PowerApps to connect to a back-end valve database for workers to autofill their information• Developed an auto-generating aisle design application using Java for site-wide warehouse inventory

• Applied Exploratory Data Analysis and NLP techniques such as stemming and lemmatization to clean and filter 100,000+ government fund submissions• Extracted important characteristics from data using applications such as NumPy, Pandas, and Matplotlib• Developed quantitative and classification models using scikit-learn to find patterns and relationships within the data• Optimized accuracy of model to predict the right business application by at least 20 percent