Abdelrahman Helal
Teaching Assistant @ Minerva University
About
I’m a physics and data science undergraduate with hands-on experience in research, data analysis, and machine learning. My journey spans projects in applied machine learning, neutrino physics, and astrophysics, where I’ve developed skills in extracting insights from complex datasets and building models that help answer meaningful scientific questions. Beyond research, I’ve worked as a teaching assistant and tutor, supporting students in quantum mechanics, data structures, and astrophysics. These experiences have fueled my passion for mentorship and empowering humans. Looking ahead, I aspire to leverage data science not just as a technical tool, but as a driver for human progress. I’m particularly motivated by applications that bridge data, education, and human empowerment, whether by building intelligent systems that expand access to learning or by applying data-driven approaches to address global challenges. I’m excited about opportunities where I can combine my analytical background with creativity and purpose, working with teams who are committed to using data and AI responsibly to create a lasting, positive impact.
-
United States
Primary/Secondary Education
LangChain, Flask, Retrieval-Augmented Generation (RAG), Tableau, Agile Methodologies, Python (Programming Language), SQL, Machine Learning, Object-Oriented Programming (OOP), Graph Neural Networks, PyTorch, TensorFlow, Scikit-Learn, NumPy, Plotly, Pandas, Linux, Git, Particle Physics, Data Analysis
Experience
Teaching Assistant
Minerva University
• Supported Prof. Ben Richard and Prof. Jon Wilkins in teaching sophomore and junior physics courses: - Statistical Mechanics (Spring 2026) - Theory and Applications of Quantum Mechanics (Fall 2024 & Fall 2025) - Physics of the Universe (Spring 2025) • Mentored 30+ students through weekly office hours and led 4 sessions on classical mechanics and electrodynamics • Graded over 500 in-class quizzes and 58 assignments, providing detailed feedback to track student progress
AI Intern
Minerva University
Class Representative
Minerva University
Data Science Intern
Minerva University
• Analyzed assessment data for over 80 students using SciPy and R to provide personalized feedback. • Conducted two-sample t-tests on pre- and post-holiday performance and across-section performance
Admission Team Intern
Minerva University
Policy Intern
Tenderloin Community Benefit District
San Francisco, CA
Data Science Intern
City and County of San Francisco
San Francisco Bay Area
Worked at the Office of Supervisor Bilal Mahmood (District 5) for experiential learning course credits. • Applied ELT on 200K requests from 311 Data using Python and SQL, driving 3 legislations • Design dashboards for weekly constituents’ requests using Tableau, improving response time by 30%
Machine Learning Research Assistant
UChicago Data Science Institute
Chicago, Illinois, United States
• Collaborated with the Exa.TrkX group at Fermilab to develop a Graph Neural Network (GNN) for reconstructing neutrino interactions at the MicrooBooNE experiment • Improved the NuGraph3 GNN architecture, achieving 98.3% accuracy by adding 3 graph layers • Conducted hyperparameter tuning on multiple model parameters, improving neutrino reconstruction resolution by 40% • Processed over 20,000 neutrino interactions using PyTorchGeometric and H5Py, optimizing GPU performance
Undergraduate Research Assistant
Seoul National University
Seoul, South Korea
As the youngest intern in the Computational Cosmology group (with Dr. Ji-Hoon Kim), I collaborated with a PhD student on developing a graph-based Anomaly Detection model to draw the density distribution of dark matter in the Milky Way Galaxy based on the latest Gaia data release (DR3).
L'SPACE Program - Proposal Writing and Evaluation Experience
NASA - National Aeronautics and Space Administration
• Conducted research on merging self-folding and wall-climbing robot technologies for Mars exploration • Collaborated with an 11-member team to submit a technology proposal to NASA's Marshall Space Flight Center • Participated in a Proposal Review Panel, evaluating and scoring four technology proposals alongside the Deputy Chief Technologist.
Education
Minerva University
Physics and Data Science
Courses: Machine Learning, Statistical Modeling, Bayesian Statistics, Differential Equations, Data Structures and Algorithms, Statistical Mechanics, Quantum Mechanics, Electrodynamics
Abdelrahman Helal's Contact Information
Phone
Find the Right Leads
Find Verified Contact Data
What LeadContact does well
Find verified emails, phone numbers, and decision-makers with 98% accuracy.
Find Leads
Find the right people by company, role, industry, location, and more.
925M+ professional profiles
Find Emails
Access verified email addresses for your target contacts.
657M+ emails
Find Phone Numbers
Get cross-validated phone data from multiple top sources.
239M+ phone numbers
More Accurate. Lower Cost.
Find contact data in 1 tool with 98% accuracy
LeadContact integrates leading enrichment tools to deliver more accurate contact data—without paying for each one.
Great conversations start with the right contact.
It’s time to find yours.