CV

Summary of Experience

My name is Vincenty (Vince) Front and I have a B.S. in Statistics and Data Science with a minor in Environmental Systems and Society from UCLA. I am proficient in R, Python, and SQL and have a great deal of experience using Tableau and GitHub for data science projects. I am a quick learner, organized, responsible, and value producing easy-to-follow, well documented work. I hope to work in a diverse and collaborative team environment where I can contribute my skills, be myself, and make a difference in my community.

Education

• B.S. in Statistics and Data Science, University of California, Los Angeles (UCLA), 2023
• Environmental Systems and Society, University of California, Los Angeles (UCLA), 2023

Experience

• April 2024 – Present: Clinical Data Analyst
  • Five Acres–The Boys’ and Girls’ Aid Society of Los Angeles
  • Duties included: Maintaining data sytems, reporting data, data analysis and suggestions
  • Supervisor: Katherine Tsai
• July 2022 – June 2023: Project Manager (Data Science Consulting)
  • UCLA Library Data Science Center
  • Duties included: Faciliating research projects and clients, data science consulting, organizing data science pipline and team structures
  • Supervisors: Tim Dennis, Zhiyuan Yao
• April 2021 – June 2023: Data Scientist
  • Data Science Union at UCLA
  • Duties included: Data collection, manipulation, visualization, and modeling on several projects

Skills

• Programming Languages
  • R (base, tidyverse, shiny) - Advanced
  • Python (pandas, BeautifulSoup, matplotlib, scikit learn, nltk, mysql) - Intermediate
  • SQL - Advanced Beginner
  • HTML/CSS - Beginner
• Other Tools
  • Microsoft Excel, including Macros and VBA
  • Tableau
  • GitHub & Git
  • Power BI
  • Microsoft Word
  • Microsoft PowerPoint
  • OpenRefine
  • Jekyll & GitHub Pages
  • LaTeX
• Highest Valued Traits
  • Teamwork/collaboration
  • Organized
  • Detail oriented
  • Integrity
  • Zealous

Projects

• Analyzing Power Outages After Hurricanes
  • Role: Data Scientist
  • Duration: January 2023 – March 2023
  • Goal: Look at how long it took for roads and power to be restored after U.S. hurricanes to shape insurance claim prices
• Predicting MLB Playoff Teams
  • Role: Project Lead & Data Scientist
  • Duration: June 2022 – October 2022
  • Goal: Predict which teams would make the MLB playoffs during the 2022 season using team statistics from the past 20 years
• Developing a Matching Algorithim for Private Vendor
  • Role: Data Scientist
  • Duration: January 2022 – May 2022
  • Goal: Build a dating app algorithm to match people based on their music preferences
• Understanding the 2020 U.S. Census
  • Role: Data Scientist
  • Duration: October 2021 – December 2021
  • Goal: Identify key patterns and trends within the 2020 U.S. Census
• Predicting California Energy Usage and Air Pollution In Wake of the Pandemic
  • Role: Data Scientist
  • Duration: June 2021 – October 2021
  • Goal: Analyze and predict California’s energy usage and air pollution during the COVID-19 pandemic

  Events

• 2023 UCLA DataFest
  • Role: Data Scientist
  • Duration: April 2023
  • Goal: Competition where 4-6 person teams were given a dataset and 48 hours to provide the best analysis
  • Result: Selected as one of the 15 finalists from over 100 teams