Information Science Student at University of Maryland College Park

Joan Ojukwu

College Park, MD ***** 240-***-**** ****.********@*****.*** www.linkedin.com/in/joan-ojukwu EDUCATION

University of Maryland, College Park Expected December 2025 Bachelor of Science: Information Science

Minors: Data Science, Philosophy

●Information Science Coursework: Object-Oriented Programming Database Design and Modeling Dynamic Web Applications Technologies, Infrastructure, and Architecture Data Science Techniques (Machine Learning) Decision-Making for Information Science

●Data Science Coursework: Data Visualization and Presentation Discrete Mathematics Knowledge in Society: Science, Data & Ethics

EXPERIENCE

NextGen Federal Systems - Machine Learning Intern July 2025 - Present

● Currently onboarding with the ML team to support federal data science initiatives

● Will be working with Python, PyTorch, and cloud-based data platforms to enhance predictive analytics and automation workflows Teaching & Learning Transformation Center - Undergraduate Researcher August 2023 - June 2025

● Enhanced NLP algorithms for sentiment analysis on STEM course evaluations at the University of Maryland, using Natural Language Toolkit (NLTK) and TextBlob to classify feedback and provide in-depth analysis of student critique

● Applied topic modeling with LDA (Latent Dirichlet Allocation) in Python to extract key themes, incorporating bigrams to enhance text preprocessing and presented NLP insights to faculty, guiding curriculum improvements for STEM courses

● Used Google BigQuery to analyze anonymized, large-scale academic data to explore trends and patterns in course offerings, enrollment, and student success

● Developed Python preprocessing pipeline to analyze 4-year academic plans, enabling complexity analysis for student success tracking Johns Hopkins Applied Physics Laboratory - SES Research Intern June 2021 - August 2021

● Continued analysis of MMS mission’s Hot Plasma Composition Analyzer (HPCA) data by visualizing ion distributions and conducted a comparative analysis between HPCA and EMIC wave data, examining dawn-dusk asymmetry of ions using Python data analysis packages PySPEDAS and Pandas and Excel's linear regression models Johns Hopkins Applied Physics Laboratory - Space Exploration Sector (SES) Intern July 2020 - May 2021

● Processed data from NASA's Magnetospheric Multiscale (MMS) mission to study Electromagnetic Ion Cyclotron (EMIC) Waves for further research on energy transfer between plasma populations and space weather in Earth's magnetosphere

● Generated subplots in IDL and Python using (Space Physics Environment Data Analysis Software) SPEDAS, PySPEDAS, and Pandas to visualize temporal and frequency-based fluctuations in the magnetic field and electric current density, to identify wave packet intervals

● Co-authored a research paper presented at the American Geophysical Union (AGU) Fall Conference PROJECTS

Digital Inequality Analysis in Education - Shiny, R - github.com/johanness-o/Digital-Inequality-Analysis-in-the-Modern-Age

● Developed a Shiny/R app to analyze connectivity disparities across 50+ countries, integrating three datasets to identify digital gaps by region and income level

● Implemented geospatial visualizations and interactive charts to highlight digital disparities across regions and income groups Crime Statistics Database for Montgomery County - SQL - github.com/johanness-o/Crime-Statistics-Database-for-Montgomery-County

● Designed a SQL database with 8 normalized tables, reducing query execution time by 20%, helping residents identify high-crime zones for safety planning in Montgomery County, MD

● Provided actionable insights, such as identifying high-crime areas, to help residents and business owners make informed safety decisions

ORGANIZATIONS

Technica, Diversity and Inclusion Director January 2023 - December 2023

● Led diversity initiatives to increase inclusivity in tech, advising sub-teams, facilitating dialogues, and collaborating with sponsors, universities, and industry partners

● Established partnerships across the tri-state area, increasing deaf & hard-of-hearing participation in Technica’s hackathon by 15% STEM Equity Learning Community (SELC) Project, Student Representative January 2023 - December 2023

● Led a seminar at the SEISMIC Central Conference on developing equity-minded facilitation skills for university administrators and faculty, focusing on strategies for large-scale transformation of STEM departments Inclusive Excellence Advisory Group, Student Representative September 2024 - May 2025

● Advocated for student equity in STEM education at the University of Maryland, collaborating with faculty and administrators Student Learning Community (SLC), STAT100 Tutor Present TECHNICAL SKILLS

Programming Languages: Python, SQL, Java, IDL, JavaScript, R, HTML, CSS, C++, MATLAB Data Analysis & Visualization: Tableau, Superset, Pandas, PyTorch, GitHub, Supabase, Google BigQuery, Microsoft Office Suite Languages: French (Fluent), German (Intermediate), Igbo (Intermediate)

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