I'm a Computer Science student with a Math minor at Northeastern University. I'm interested in data science, data visualization, machine learning, mathematical modeling, and algorithm design.

• Studying Computer Science (Math minor) at Northeastern University
• Interests: Data Science, Machine Learning, Mathematical Modeling, Data Visualization, and Algorithm Design
• Currently learning: neural networks from first principles, deriving and verifying backpropagation by hand
• Reach me: LinkedIn and ismail.abd@northeastern.edu

• Languages: Python, Java, JavaScript, SQL
• Data/ML: Pandas, NumPy, Matplotlib, Scikit-learn, Keras
• Frameworks & Tools: FastAPI, LangChain, ChromaDB, Supabase, NetworkX, Streamlit, Git
• Visualization: Flourish, Datawrapper
• Other: Autodesk Inventor (CAD), REST APIs

Project	Description	Tech
Clinical Trial Duration	Predicting how long a clinical trial will take from registration data alone. Extracted 220K trials from a 40-table medical database, then built a neural network from scratch in NumPy with hand-derived backpropagation (handwritten derivations included), verified against numerical gradients to nine decimal places. Compared eight models and deployed a demo reporting prediction ranges rather than single numbers
Family Tree Builder	Interactive app for building a family tree and finding how any two people are related. Breadth-first search, path reconstruction, and generation layout written from scratch, with formal correctness proofs and validation that blocks impossible relationships
Huntington News Visuals	Data visualizations for published articles at The Huntington News, Northeastern's student paper. Topics include Boston coverage, lifestyle trends, and campus coverage
Data Analysis Projects	Two analyses: a bird behavior study using logistic regression to predict singing behavior from height and time of day (66% accuracy), and a 10 year analysis of Boston shooting data by year and district
AI Chat App	Full-stack chat application with persistent memory using RAG. Supports cross-conversation retrieval, file and image ingestion with OCR and captioning, and streaming responses over WebSockets

• Built and numerically verified a neural network from scratch, then benchmarked it against library implementations on 220K rows of real medical data
• Mathematical modeling: hand-derived backpropagation through multiple layers and applying graph theory to genealogy
• Implemented graph algorithms from first principles, including breadth-first search with path reconstruction and formal correctness proofs
• Comfortable across the pipeline: SQL extraction from relational databases, cleaning decisions on messy data, modeling, and deployment
• Data journalism work published across multiple articles at The Huntington News
• Built a full-stack AI application working with API, database, and vector search