Chinaza Okoye-Emeka
§ github.com/Bondella* ï linkedin.com/in/chinaza-okoye-emeka-526572234 # ***********@*****.*** Education
Georgia State University December 2026
Bachelor of Science in Computer Science Atlanta, GA Skills
Languages: Python, Java, C, JavaScript, HTML/CSS
Tools: Git/GitHub, Figma, VScode, XCode
Frameworks: React/Native, Node.js, Flask, Streamlit, Django Libraries: Pandas, NumPy, MatplotLib
Professional Experience
Deutsche Bank Incoming Software Engineering Intern June 2025
• Selected for an internship in the Technology, Data, and Innovation division. AmazonNext X Codepath Emerging Engineers Program June 2024 - August 2024
• Selected for a competitive program focused on technical interview preparation, professional skills, and mentorship from Amazon engineers.
Robinson College of Business Student assistant Jan 2023 - Present
• Provided general administrative and technical support to faculty, staff and students.
• Assisted in planning and coordinating events, conferences, and workshops. Projects
JPMorgan chase - Data for good Python(pandas,numpy,matplotlib), Jupyter notebook, Regression analysis April 2025
• Built data visualizations, including bar charts and regression models, to compare player performance pre- and post-trade, uncovering trends in player development disruption following first-year trades.
• Designed a custom BPM metric by normalizing key stats (points, rebounds, assists) to analyze rookie performance post-trade.
• Developed and demoed an interactive model, delivering insights on rookie retention and growth to the NBPA Foundation.
VisionROI - Microsoft March Hackathon Python, CosmosDB, React March 2025
• Developed an AI-driven ROI calculator, improving resource allocation efficiency by 25% for change management initiatives.
• Implemented Azure Cosmos DB, handling real-time data processing for 1,000+ simultaneous users and reducing data latency by 30%
Resume.AI - Deutsche Bank Hackathon HTML, CSS, JavaScript, Java, Spring Boot Oct 2024
• Developed an AI-powered resume screening tool using Natural Language Processing (NLP) to match candidates to job descriptions.
• Implemented the system within 7 hours using Stanford’s Java-based NLP library to extract and match keywords automatically.
SkinAI - Hacklytics React.js, TensorFlow (Keras), Python, OpenAI API, MATLAB, Flask, ngrok, Axios Feb 2024
• Built a machine learning model for mole classification, achieving 70-80% accuracy in detecting melanoma.
• Trained a convolutional neural network (CNN) using Keras on a dataset of malignant and benign mole images.
• Developed a React.js frontend and Flask API to integrate the model, completing the project in under 24 hours. Leadership
Girls++ Vice President Sept 2024 - Present
• Manage communication between the CS department and the club.
• Organize meetings and oversee initiatives to empower women in tech. Girls Who Code Mentor Oct 2023 - April 2024
• Mentored two high school clubs with 15+ students each to complete 2024 Girls who code challenge.
• Provided guidance on coding projects and encouraged interest in STEM.