◦ Designed a new algorithm to migrate 200 monthly records from a web app to a centralized Salesforcedatabase. This feature uses Python to prepare data for loading and Java to insert data into Salesforce.◦ Developed a data pipeline using Java and SQL to automatically sync data between a contacts databaseand the Salesforce database. This pipeline saves 100+ hours of manual data entry each month.◦ Developed a new Java algorithm to automatically categorize contact data in one click, saving 100+ hours.◦ Designed a front-end page containing 6 data visualizations that provide insights for fundraising targets.

● Led a data science organization consisting of 100+ undergraduate students and 9 student committees.● Managed a budget of over $100,000 from client projects. Coordinated logistics for the sourcing ofdata consulting projects, and various external-facing events with over 200 expected participants.

◦ Constructed a Python natural language neural network that predicts answers to business queries aboutclient data. Improved the neural network’s accuracy to 63.7%, outperforming the client’s previous model.◦ Created a Jupyter notebook to convert 2 million rows of data to vectors, improving training speed by 15%.◦ Developed a command line interface using Python, providing a fast client query response in 10 seconds.

◦ Collected, cleaned and analyzed over 1200 rows of biological data, improving trial success from 5% to 90%.◦ Designed and administered a database for 553 sunflower samples, saving 10 minutes per researcher query.◦ Built a data pipeline using Python, Numpy and Pandas that migrates new plant data into the databaseand creates a visualization displaying progress. This pipeline saves 10+ hours each week.