Education

Data Director | Great Education Initiative

  • As Data Director, I spearheaded data visualization and analysis, primarily utilizing Google Looker and Superset for insightful dashboarding and reporting

  • My responsibilities also included developing custom spreadsheets for crucial operational tracking, such as canvasser performance and payroll management, alongside in-depth data analysis to identify key trends and areas for strategic improvement.

Business Analyst | Farmers Insurance

  • Tested criteria within the comparative rater for state specific rollouts and the new integration of Agent360, while diagnosing defects in the system and identifying resolutions through assisted communication to vendors

  • Evaluated current team processes and innovated improved practices that would not only be more flexible but also effective for increased productivity at a team level

Customer Success Manager | Definitive Healthcare

  • Consulted with software and IT clients as their primary point of contact with Definitive Healthcare, consistently advocating their needs, providing insightful trainings, and executing data reports requests

  • Mediated in contract renewal conversations while providing platform usage insights and recommendations on trainings

Data Analyst Intern | MetLife Insurance

  • Conducted data analysis for the real time solutions team by effectively utilizing Qlik Sense to better understand performance metrics of quotes, apps, and close ratios for written premium in the comparative rater environment by vendor and by state.

  • Consolidated copious amounts of data to uncover meaningful trends and developed engaging visualizations

Master of Applied Analytics | Boston University 2021-2022

  • Awarded a Merit Scholarship and completed degree while working full-time

  • Developed skillsets in data mining, data visualization in coding, regression analysis, data manipulation using applications of descriptive, predictive, and prescriptive analytics, code based simulation, building and assessing predictive models, and artificial intelligence using machine learning

Dual Undergraduate Degrees | B.A. Biology and B.S. Marketing 2016-2020

  • I was one of seventeen students in my graduating class to accomplish dual undergraduate degree status in a 4-year period. In order to achieve this, I completed 143 credits when a typical undergraduate degree is 120 credits. This is equivalent to an additional year of schooling in a 4-year period

  • During my studies, I also worked on a research team studying the significance of the amyloid precursor protein on Alzheimer’s patients

Work Experience

Technical Skills

  • SQL

  • Excel

  • Google Looker

  • Superset

  • Python

  • RStudio

  • Google Sheets

  • Powerpoint and Word