Melina Raglin

Melina Raglin

Data Analytics Student

Ohio State University


I am a fourth-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 a student member of the Translational Data Analytics Institute (TDAI). This summer, I worked as a data strategy intern at the global home office of Abercrombie and Fitch Co. I’m currently searching for a full-time position as a data analyst with a start date in the fall of 2023.

I’m interested in the intersections of data analysis and other quantitative and qualitative fields, including machine learning, personalization, software development, computational social science, and more, and am currently pursuing professional positions in such fields of work, with the plan to start working in fall of 2023. In my free time, I enjoy pursuing my personal hobbies, including music mixing and production, fitness, and enjoying the outdoors.

Download my resumé.

  • Data Visualization
  • Machine Learning and Artifical Intelligence
  • Personalization
  • Computational Social Science
  • Media and Streaming Services
  • 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




Leadership Development Program Intern
Abercrombie & Fitch Co.
Jun 2022 – Present New Albany, Ohio

Internship experiences:

  • Worked on the data strategy team on personalization projects, using insights collection on customer data with Snowflake to develop strategies and hypotheses for A/B testing to implement new features and experiences for users across all channels (email, app, push, browser).
  • Completed both a final personal project and cross-functional case competition, presenting to a panel of judges of various levels across the company, utilizing both techincal and personal presentation skills.

Tools used:

  • Snowflake (SQL)
  • Adobe Analytics
  • PowerBI
  • Google Analytics
Assistant Coach
Bloomington High School North Girls Varsity Swim Team
Oct 2020 – Mar 2021 Bloomington, Indiana
Helped coach a team of over 30 high school girls on the varsity swim team at 4-8 practices a week. Led swimmers through various types of 2+ hour workout sets and attended swim meets, providing mental and emotional support to female athletes throughout their swimming and high school careers.
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

Tools used:

  • Python (vtk9, numpy, pandas)
  • Git/GitHub
Research Assistant
The Ohio State University Sociology Department
Jan 2020 – Present Columbus, Ohio

Spring 2022 Experiences:

  • Presented facial recognition research and DCiFR GUI software at the Population Association of America 2022 conference in Atlanta, Georgia. The presentation was entitled “Computer Vision and Applications in Social Science: Deriving Race and Gender From Photos” in the “Machine Learning Applications to Population Processes” session.
  • Joined the openVA research group under Professor Sam Clark to begin working on projects related to demographic data, including building a relational database management system in SQLite for population data

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.

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

Tools used:

  • Python (pandas, numpy, pytorch, deepface, fairface)
  • R