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Chanteria Milner

Software Developer & AI Engineer

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About Me

Chanteria Milner is a software developer, data scientist, and AI engineer dedicated to creating technology that drives societal impact. With a background in full-stack development, machine learning, and AI safety, she builds scalable, transparent, and responsible AI systems that address real-world challenges. She holds a Master of Science in Computational Analysis and Public Policy from the University of Chicago and a Bachelor’s degree from Vanderbilt University, where she focused on the intersection of technology, policy, and social responsibility. Chanteria is always eager to collaborate on innovative projects and is open to contract roles.

Experience

U.S. Census Bureau | Reveal Global Consulting

Software Engineer

  • Took ownership of a project after team turnover, managing full-stack development, data engineering, and server operations while collaborating with stakeholders to address application errors and prioritize feature development.
  • Enhanced data quality by deploying a machine learning model that resolves gaps and inconsistencies in datasets.
  • Developed lexical and semantic enterprise search engines using pre-trained LLMs, BM25 algorithms, and Elasticsearch.
  • Improved accessibility to Census supply chain data by building Django RESTful APIs for use in a visualization application.
  • Decreased manual data correction time by over 90% by developing a batch correction application.
  • Refactored a legacy application into Angular, improving performance, scalability, and usability.
  • Enhanced application resilience and maintainability by containerizing deployment processes using Docker.

U.S. Census Bureau | Reveal Global Consulting

Data Scientist Intern

  • Increased survey processing speed by 75% by engineering a survey processing application using Angular and Django.
  • Advanced application security with JSON Web Tokens and SSO integration for robust authentication protocols.
  • Optimized AWS server configurations by automating CI/CD pipelines using Jenkins and implementing IaC with Ansible.
  • United new applications with legacy systems using Agile methodologies, ensuring compatibility and smooth transitions.
  • Streamline application adoption and onboarding by authoring well-documented code with clear docstrings and producing in-depth user and developer guides.

NORC at the University of Chicago

Graduate Research Assistant II

  • Drafted key briefs on research methodologies and authored white papers on research best.
  • Performed in-depth literature reviews to analyze and synthesize prevailing demographic measurement practices
  • Engineered a Flask-powered application for the dynamic visualization of non-profits across Illinois.

NORC at the University of Chicago

Summer Research Intern

  • Enhanced understanding of national sentiment by collaborating with clients to create public opinion surveys.
  • Elucidated key public opinion trends by leveraging SAS and STATA to create survey toplines.
  • Created public-use datasets to promote transparency and enable external research.
  • Analyzed and interpreted hundreds of open-ended survey responses on critical social issues.

Education

University of Chicago

Sept 2022 - June 2024

Master of Science in Computational Analysis and Public Policy

Relevant Coursework: Advanced Machine Learning, Computational Content Analysis, Big Data and Cloud Computing, Hierarchical Linear Models, Inferential Statistics, Database Management Systems, Object-Oriented Programming

Vanderbilt University

Aug 2018 - May 2022

Bachelor of Arts in Sociology

Minor: Computer Science

Projects

Climate Research Article Summarization

Designed and implemented an NLP-based pipeline leveraging transformer-based models and LSTMs to summarize over 15,000 climate research articles.

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United States Healthcare Legislation Content Analysis

Employed clustering, graphical analysis, and topic modeling algorithms to create a framework to analyze cultural shifts in legal discourse related to US healthcare legislation.

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Civic Tech Web Application: Shoulder to Shoulder

Developed a web application designed to combat social isolation by connecting individuals through local events. Built and implemented the frontend using Angular, conducting multiple rounds of Figma wireframing, UX interviews, and feature testing to refine the user experience. Configured and maintained the application's infrastructure, hosting it on an AWS LightSail server and managing an AWS PostgreSQL relational database to ensure secure and reliable performance.

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Presentations

Streaming Live: An Illustration of Public Opinion Research using Twitch.tv

Midwest Association for Public Opinion Research
November 2022

This work showcased innovative methodologies for gauging public sentiment on contemporary issues through new media platforms.

Raiders of the Lost Archives: Expanding Access to Historical Criminal Justice Data

Coding it Forward Demo Day
August 2022

This presentation showcased my work as a 2023 Coding it Forward Data Engineering fellow and the U.S. Census Bureau.

Public Perceptions of Ideal Contraceptive Usage

North Central Sociological Association Conference
April 2022

This presentation delved into societal attitudes towards contraceptive methods across different demographic groups.

Skills

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