• Performed SQL queries to identify data standardization issues to prepare for database migration• Provided detailed reports of data issues to manager with hypothesized root causes • Completed training on health insurance principles and policies to enhance domain knowledge• Documented technical requirements on outbound data projects in the role of Business Systems Analyst• Conducted data testing to ensure that data pipelines were implemented correctly

• Queried and standardized 2.5 million rows of USDA program demographic data that impacts thousands of farmers across the U.S. • Presented recommendations to senior data officers for data cleaning and standardization used to solve crucial data issues• Visualized geographic distribution of demographic data in Tableau and communicated data limitations to political stakeholders• Reviewed AI Marketing candidate resumes and analyzed employee AI opinion surveys in Python

• Performed data analysis and created visualizations with Twitter data utilizing Python (Pandas and Matplotlib)• Utilized machine learning concepts such as LDA topic modeling to identify topics in data• Used text pre-processing techniques such as lemmatization, finding bigrams, and tokenization• Communicated and collaborated closely with my graduate student mentor and research professor• Worked an average of 10 hours a week on National Science Foundation (NSF) funded project

I started off as a ice cream scooper who took customer orders, I eventually took on the roles of making waffle cones for the store and working the register which I did for much of my time there. From this job I learned skills such as: responsibility, patience, people skills, and teamwork.