Summary
Overview
Work History
Education
Skills
Websites
Timeline
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Larry Barrett

Wadsworth,IL

Summary

Accomplished Data Scientist with proven track record in data analysis and problem-solving. Developed innovative models that significantly improved decision-making processes. Highly collaborative team player, adaptable to dynamic project requirements, skilled in Python, R, and machine learning algorithms.

Overview

4
4
years of professional experience

Work History

Data Scientist

Human Rights Data Analysis Group
12.2024 - Current
    • Contributed to Pulitzer Prize-winning "Missing in Chicago" article by analyzing data with Python and SQL, processing over 355000 data points.
    • Improved statistical accuracy by applying advanced methods to datasets of 355252 records, contributing to award-winning research.
    • Enhanced data integrity and communication by collaborating with four cross-functional teams, increasing stakeholder decision efficiency.
    • Developed reproducible data processing pipelines using Python and R, enabling analysis of datasets exceeding 350,000 records, accelerating delivery of actionable insights to partner organizations by 25%.

Community Specialist

BECOME
09.2022 - 12.2024
    • Amplified community engagement by 30% using data analysis to advocate for systemic change in Auburn Gresham at BECOME.
    • Increased local support by 68% by co-creating and developing the Culturally Responsive Community Transformation (CRCT) initiative with community members at BECOME.
    • Boosted collaboration by 47% by facilitating 29 meetings with clergy and community leaders at BECOME.
    • Cultivated partnerships with grassroots organizations to advance program reach and amplify resource accessibility for underserved populations at BECOME.

Data Scientist Intern

Human Rights Data Analysis Group
11.2021 - 09.2022
    • Refined analytical insights by concatenating four complex datasets into one using Python and R, assisting two key HRDAG projects.
    • Enhanced communication by creating 6 data visualizations for technical and non-technical audiences at HRDAG.
    • Devised automated data cleaning pipelines in Python, streamlining processing workflows and ensuring high-quality data for statistical analyses on human rights violations.

Data Scientist Intern

Invisible Institute
06.2021 - 11.2021
  • Engineered a Principal Data Processing pipeline using Python and R, allowing prompt identification of trends in large datasets during the Missing in Chicago project.
  • Combined three separate Excel spreadsheets into one large data frame.
  • Performed topic modeling and semi-supervised classification using Python and NLP libraries to analyze a corpus of 30,000 written allegations for a project investigating the intersections of gender-based violence and policing.
  • Implemented scalable transformation pipelines, utilizing Pandas and SQL, which expedited compilation of structured datasets and supported high-impact reporting projects.

Education

Bachelor of Science - Statistics

University of Illinois Chicago
Chicago, IL
08.2025

Associates of Arts and Science - undefined

Danville Area Community College
Danville, IL
05.2016

Skills

  • Python programming

  • Machine learning

  • SQL databases

  • Statistical analysis

  • R programming proficiency

  • Statistical probability analysis

  • Problem-solving skills

  • Clear interpersonal communication

  • Cross-functional teamwork

  • Cultivating collaborative partnerships

Timeline

Data Scientist

Human Rights Data Analysis Group
12.2024 - Current

Community Specialist

BECOME
09.2022 - 12.2024

Data Scientist Intern

Human Rights Data Analysis Group
11.2021 - 09.2022

Data Scientist Intern

Invisible Institute
06.2021 - 11.2021

Associates of Arts and Science - undefined

Danville Area Community College

Bachelor of Science - Statistics

University of Illinois Chicago

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