Melina Raglin

Melina Raglin

Data Analytics Student

Ohio State University


I am a third-year student and Eminence Fellow at The Ohio State University majoring in data analytics with a data visualization specialization and minoring in sociology. I’m a member of the Big Data Analytics Association and Cultivate Columbus, as well as a research assistant in the Department of Sociology and Translational Data Analytics Institute (TDAI).

I’m interested in exploring the intersections of data analysis and other quantitative or qualitative forms of study, including machine learning, software development, computational social science, and more. In my free time, I enjoy pursuing personal hobbies, including music mixing and production, fitness, and enjoying the outdoors.

Download my resumé.

  • Data Visualization
  • Machine Learning and Artifical Intelligence
  • Sociology and Philosophy
  • Computational Social Science
  • Pursuing a Bachelor of Science in Data Analytics, 2023

    The Ohio State University University

  • Honors High School Diploma, 2019

    Bloomington High School North

  • Classes in Informatics and Computer Science, 2019

    Indiana University




Assistant Coach
Bloomington High School North Girls Varsity Swim Team
Oct 2020 – Mar 2021 Bloomington, Indiana
Software Development Intern
May 2020 – Dec 2020 Bloomington, Indiana

Internship Experiences:

  • Wrote 3D visualization and animation tutorials in Python for new users of FURY, an international open-source scientific visualization project
  • Implemented new shapes and functions to expand the FURY library using 3-dimensional calculus and linear algebra concepts with the help of Python packages such as NumPy and VTK9
  • Used Git/GitHub heavily for making and editing pull requests
Research Assistant
The Ohio State University Sociology Department
Jan 2020 – Present Columbus, Ohio

Spring 2020 Experiences:

  • Mastered web-scraping with Python and was able to experience the full process of data analysis, from collection and organization to statistical regression analysis
  • Learned about facial recognition software, sentiment analysis, and natural language processing
  • Became interested in the social applications of data analytics practices, influencing me to pick up a minor in sociology

Spring 2021 Experiences:

  • Became confident in Python software development skills and researched PyQt packages to build a GUI connected to deep-learning facial analysis models
  • First author of DCiFR project, creating and refining features including single image mode and batch mode, check box selection of multiple attributes, output and error messages for the deep learning model analysis, and formatted CSV results