• Created an interactive dashboard for visualizations and summary statistics of immunizations and adverse effects following immunization.• Produced extensive reports of adverse events following immunization of the flu and COVID-19 for stakeholders.• Perform data quality checks on infectious disease data• Created dashboards in Power BI of adverse events following immunization.• Assisted in various data requests on an at need basis.• Conducted daily data submission requests.

• Recipient of the outstanding thesis award from the department of mathematics and statistics.• Published here: https://jds-online.org/journal/JDS/article/1322/info• Comparative study of nine binary classification algorithms for imbalanced mixed-type clinical mesothelioma data.• Random Forest classification yielded the best results with a F-1 score of 85.37% and 86.54% accuracy.

• Conducted Monte Carlo simulations to compare various imputation methods in the Census of Agriculture• Improved the efficiency of the Monte Carlo simulation by shortening the run time by several hours.• Automated a process to export data output and setup graphical analysis from the Monte Carlo simulations.• Produced summary reports in the evaluation of imputation methods for the Census of Agriculture.• Assessed the quality and manipulated large data sets with n=8000000

• Led and researched a random forest regression model to determine feature importance for pricing.• Model was utilized for a virtual resort manager system to improve seasonal revenue by 20%.• Sentiment analysis of reviews for most popular amenities to improve rental traction by 12%.

• Forecasted company revenue to the CFO for a successful $500,000 venture round based on market data.• Developed a break-even point in rental units for the CSR team to improve sales efficiency.• Acquired partnership with Homestay.com by proposing data-driven strengths of the Cozystay rental platform