• Implemented a topic model workflow using LDA to assist internal teams in deriving insights for customer pain points.• Conduct ad-hoc, fast-paced analyses in partnership with retail wireless teams to identify causes of customer port-outs.• Designed a job site web scraping program in Python resulting in an increase in compensation for customer serviceagents.• Engineered a machine learning model to create a list of zip codes with the highest probabilities of producing… Show more • Implemented a topic model workflow using LDA to assist internal teams in deriving insights for customer pain points.• Conduct ad-hoc, fast-paced analyses in partnership with retail wireless teams to identify causes of customer port-outs.• Designed a job site web scraping program in Python resulting in an increase in compensation for customer serviceagents.• Engineered a machine learning model to create a list of zip codes with the highest probabilities of producing thehighest-performing and longest-tenured employees.• Created an automatic resume parser to collect and analyze characteristics of high-performing and long-tenuredemployees.• Initiated long-term, strategic partnerships across talent acquisition, finance, sales, and contract administration toaddress business problems and create data-driven solutions. Show less

• Present myself as the face of the unique, short-term vacation rental cleaning firm.• Maintain and build relationships with 14 clients.• Onboard qualified individuals and manage 15 employees by executing challenging executive decisions.• Research, design and implement formal processes to make tasks more efficient to revenue over $100,000 in 2020.

• Coordinated with Professor Jeremy Ladd in an empirical study about opposition coalitions and democratization.• Collected election data using Beautiful Soup, Requests, and Pandas within Python from over 2,900 Wikipedia pages.• Identified problems within the existing Python and R scripts that reduced efficiency and caused data inconsistency.• Created a program to assist with manually checking the collected data.

• Supervised and consulted 43 first-year students during their day-to-day activities.• Created and implemented 15 community-building activities.• Mediated conflict and facilitated resolutions between residents.• Engaged in conversations about difficult topics with residents.