High Performance Computing Team

April 2023 – Present

• Spearheaded development of AI-powered chatbot with the objective of streamlining the IT Help Desk process by leveraging existing data and open source large language models
• Deployed chatbot ML model on server by building API infrastructure to send user requests, search database, and return model output
• Integrated API calls to extract tech support ticket history, employing regular expressions for data parsing and cleaning to ensure accurate and relevant information for better chatbot outcomes
• Built admin dashboard with numerical and graphical summaries for model and system analysis using PlotlyJS

Data Consultant

January 2023 – Present

• Engineered report automation package to read and wrangle data to output reports in seconds, empowering clients with numerous company reports within seconds, resulting in a monthly time savings of over 20 hours
• Seamlessly transitioned proprietary software-based visualizations to open-source alternatives, delivering substantial cost savings of hundreds of dollars per month to clients

Data Lead

September 2022 – April 2023

• Designed and created PowerBI report for school Board of Trustees and Superintendent on financial management, HR, and student achievement by utilizing measures in DAX resulting in greater school funding
• Developed data model incorporating multiple data sources to provide reporting capabilities including compelling visualizations and data summaries
• Met with stakeholders to understand requirements and effectively communicated findings to various audiences
• Instructed team on PowerBI and DAX; ensured team members were included and excelled by finding natural strengths for greater success

Data Analyst

April 2021 – December 2022

• Automated semester reports, saving 3+ weeks of manual reporting each semester by developing reusable R scripts for efficient, high-quality results in every use
• Led development of tri-university reporting suite using Power BI focusing on retention of online students; reports were utilized by Institutional Research, University Presidential Council for more informed executive decisions
• Prepared reusable weekly and monthly reports to Student Life executives on program KPIs and past expenditures by automating data pipeline from Qualtrics and university data warehouse to report deployment
• Guided a team of 5 other analysts in professional development, data manipulation skills, and data visualization theory while fostering a positive work environment

Data Scientist

January 2022 – April 2022

• Created ML model using scikit-learn to predict student retention ensuring maximum model performance; the model was implemented university-wide
• Leveraged topic modeling to label text data using NLP packages, enabling the use of 10% more features incorporated in the student success prediction model
• Quantified and modeled student KPIs by statistical measurements for effective and reusable progress tracking, increasing faculty effectiveness by 30%