Isaac Baca

Welcome to my website! I'm a data scientist with a background in quantitative psychology. Here, you'll find an overview of my education and professional experience. Click on the projects below to explore my work, with detailed descriptions and links for each project.

Email: Isaacb125@gmail.com

Relevant Skills and Experience

Statistical Inference, Regression, Multilevel Modeling, ANOVA, Multivariate Statistics
Python, R, SQL, Excel, PowerBI

Projects

Education

Vanderbilt University - Peabody College
Nashville, TN

M.Ed., Quantitative Methods
2021 - 2023
GPA 3.93

Middle Tennesse State University
Murfreesboro, TN

B.S., Dual Degree in Psychology and Sociology
2014 - 2020
GPA 3.81

Work Experience

Statistical Consultant
-Freelance

Oct 2023 - Present

Performed a comprehensive market analysis of the Turo market in Nashville, including data scraping, cleaning, and analysis, and provided recommendations to the client on the most profitable makes, models, and years, as well as recommendations on how to price the vehicle to maximize their return on investment.

  • Cleaned and analyzed data using Python
  • Built an interactive dashboard in PowerBI to visualize key insights.
  • Assessed data normality using histograms, QQ-plots, and the Shapiro-Wilk test.
  • Applied non-parametric statistical tests including Mann-Whitney U, Kruskal-Wallis, and Dunn’s test with Bonferroni correction.
Data Specialist - Remote
-Boys and Girls Clubs of America

Oct 2023 - Present

Led nationwide data migration initiatives for Boys and Girls Clubs organizations, transitioning from legacy systems to a new salesforce backed software platform for multiple organizations.

  • Successfully managed data migrations for 14 organizations, each involving over a million records.
  • Conducted comprehensive data analysis and validation procedures to ensure the quality of data prior to migration.
  • Provided feedback including suggestions and action items in the weeks prior to migration.
  • Collaborated with implementation specialists to align data migration processes with system configurations.
  • Enhanced data cleaning efficiency for the data team by transitioning manual Excel processes to automated Python pipelines, reducing task completion time from hours to minutes.
  • Used SQL queries to validate and update data in the client’s new system post migration.
Data Analyst - Apprentice
-Nashville Software School

Aug 2023 - March 2024

Intensive seven-month bootcamp focusing on data analytics fundamentals and problem solving. Used real-world datasets and included projects where findings were presented to stakeholders from the community.

  • Analyzed data using Microsoft Excel, including utilizing pivot tables and lookups, and connected to external data sources using the PowerPivot add-on
  • Built and deployed dashboards using Tableau and PowerBI
  • Wrangled data and performed exploratory data analysis using Python’s pandas library
  • Created data visualizations using matplotlib and seaborn
  • Gathered data through APIs and webscraping
  • Performed geospatial analysis using geopandas and folium
  • Retrieved and analyzed data using PostgreSQL and sqlalchemy
  • Source code version control with Git/GitHub
  • Project management/tracking with GitHub project boards and issue tracking
Healthcare Policy Analyst - Internship
-Vanderbilt University Medical Center

Jan 2023 - April 2023

Analyzed data from a large healthcare claims database to assess the effectiveness of opioid cap laws in reducing opioid prescriptions during the postpartum period.

  • Used SAS and SQL to transform data into a format that is suitable for analysis in R.
  • Conducted data analysis using difference-in-differences regression in R.
  • Summarized and presented results to team of researchers and healthcare policy experts.

Publications