- Worked on the AI tipsheets tool for the Digital Democracy project.- Applied NLP, data science, and machine learning techniques to analyze state legislature transcripts for anomalies and trends.- Developed custom Python scripts for data preprocessing, insight extraction, and anomaly detection, utilizing SQL databases for data retrieval.- Collaborated within a research team to automate insight generation from state legislature data, supporting journalists in uncovering noteworthy… Show more - Worked on the AI tipsheets tool for the Digital Democracy project.- Applied NLP, data science, and machine learning techniques to analyze state legislature transcripts for anomalies and trends.- Developed custom Python scripts for data preprocessing, insight extraction, and anomaly detection, utilizing SQL databases for data retrieval.- Collaborated within a research team to automate insight generation from state legislature data, supporting journalists in uncovering noteworthy trends and anomalies. Show less

- Grader for Applied Multivariate Statistics & Probability, Random Processes for Engineers, Statistical Inference for Management II

- Analyzed national survey and interview data to assess the academic and career impact of COVID-19 on the STEM community. - Identified trends and disparities and determined which mentoring practices proved to be most effective.

While with Google Summer of Code and RStats, I developed the 'youdrawitR' interactive data visualization R package. Building on the foundation of an existing tool, I integrated capabilities for handling custom and non-linear datasets, introduced advanced plotting mechanisms and interactive elements, and incorporated tooltips for enhanced user experience. Additionally, I created an accompanying shiny app to offer a web-based interface for users to seamlessly visualize and interact with their… Show more While with Google Summer of Code and RStats, I developed the 'youdrawitR' interactive data visualization R package. Building on the foundation of an existing tool, I integrated capabilities for handling custom and non-linear datasets, introduced advanced plotting mechanisms and interactive elements, and incorporated tooltips for enhanced user experience. Additionally, I created an accompanying shiny app to offer a web-based interface for users to seamlessly visualize and interact with their data using the package's features. Show less

Under the guidance of Dr. Hunter Glanz, I created a SAS macro designed to analyze and determine multivariate associations of microbial data. My responsibilities included data cleaning, creating options for data preprocessing, and implementing mixed linear models. The macro provides a streamlined approach for researchers to study relationships between microbial compositions and various effects.