Developed and implemented advanced data analysis models and automation tools using Python, machine learning, and large language models (LLMs), significantly enhancing operational efficiency and strategic decision-making. Key achievements include:- Support Ticket Analysis Models: Engineered models that reduced analysis time for up to 60,000 support tickets to under two minutes by leveraging t-SNE, HDBSCAN clustering with Bayesian optimization, and LLM-based classification.- Compliance Knowledge Database: Designed a global compliance database with complex relational structures, automating data formatting and establishing management interfaces and a custom approval system. Trained LLMs to answer compliance queries, indexing tens of thousands of compliance facts and producing the company’s first LLM-generated help center resources.- Customer Risk Tracking Tool: Developed a risk tracking tool with LLM-generated summaries integrated into a churn prediction model, reducing client churn and informing new standard operating procedures.- Data Error Monitoring Systems: Built monitoring systems that resolved 99.5% of 85,000 detected errors in six months, eliminating development delays and saving thousands of labor hours.- Dashboards and Reports: Created complex dashboards and reports using advanced SQL queries, delivering strategic insights and expanding data access beyond existing analytics platforms.- Rapid Solution Engineering: Saved hundreds of labor hours by rapidly developing internal tools and automations, including databases, reporting tools, survey platforms, synchronization scripts, and migration tools.

• Analyzed large amounts of chatbot data in Python utilizing Pandas• Datasets consisted of thousands of lines of chatbot requests, relevant categories, and timestamps• Designed various interactive data visualizations with Altair• Exported and distributed Altair visualizations in PNG format and interactive HTML format• Built additional visualizations with Numbers for Keynote distribution• Wrote a blog post about automation in the Self Storage Industry leveraging findings from data analysis• Conducted work, meetings, and communication remotely with Slack, Google Meet, and Zoom• Utilized visualizations created with Altair and Numbers and helped finalize the Self Storage Industry Report

• Treasurer of ballot initiative responsible for over $30,000 in donations• Kept track of all donations and expenses with Google Sheet• Reported donations and expenses to city on time according to election guidelines• Extensive use of Slack and Zoom for coordination with a team of dozens of volunteers• Assisted with campaign strategy and planning by attending weekly standing meetings and executive meetings• Preformed analytics on donations to gain donor insight using pivot tables with Google Sheets