I’m a Data Analyst II at Loeb Electric, where my role has grown into a hybrid of data analyst, data engineer, and data scientist. This evolution came from consistently pushing boundaries and delivering results that go beyond expectations.
To meet these expanding demands, I began a Master’s in Data Science at the University of Colorado Boulder. I also hold a BS/MS degree in Engineering Physics and Nuclear Engineering from The Ohio State University.
My major projects include:
Previously, at Serva Energy, I built a real-time signal denoising filter for high activity radiation data using an innovative template matching method.
Whether it’s deploying machine learning models in production, visualizing actionable insights in Power BI, or solving physics-based problems, I bring scientific thinking and relentless curiosity to every project.
I’m always learning and I love teaching—my team jokingly refers to it as “Ayub University.” I believe in raising the bar—not just for myself, but for the teams around me.
On the topic of learning, check out my very cool Educational tool, or navigate to the Projects section to see some of my work in action.
Relevant Courses:
Linear Algebra,
Algorithms and Data Structures,
C++,
Python,
MatLab,
Experimental Physics Instrumentation and Data Analysis,
Theoretical and Computational Mechanics,
Radiation Measurement and Analysis
Relevant Courses:
Numerical Methods for Partial Differential Equations (Finite Difference / Volume Methods),
Reactor Physics,
Topics in Nuclear Physics,
Probability for Statistical Inference
Relevant Courses:
Advanced Statistical Inference,
Data Structures and Algorithms (Trees and Graphs, Dynamic Programming, Greedy Algorithms)
Built a supervised machine learning model to automate the classification of e-commerce products into a 4-level taxonomy. This solution replaced manual tagging and enabled more accurate product data for analytics and e-commerce.
View ProjectDesigned a forecasting model to predict daily warehouse location usage over the next 30 days using inbound/outbound orders, inventory history, and slotting rules. The model outputs location occupancy by size category and feeds into a Power BI Dataflow for real-time reporting, enabling proactive space planning, labor scheduling, and slot optimization.
View ProjectCreated an interactive demo to visualize warehouse analytics using 3D and 2D heatmaps. The tool helps identify high-traffic zones and supports layout optimization, labor planning, and congestion analysis.
View ProjectDeveloped a real-time signal denoising filter for gamma-ray spectroscopy using FFT-based template matching. The tool processes 1.8 million samples per second, reducing noise while preserving signal fidelity.
View ProjectA hands-on visualizer that lets you draw any signal and watch it come to life through Fourier series. Built for interactive learning, this tool breaks down your scribble into harmonics in real time—showing how waves combine to recreate even the weirdest shapes. It’s math, physics, art rolled into one. Press "Launch Binder" to try it out!
A desktop application built for managing international designer shoe sales, customer orders, vendor purchases, and inventory. It supports multi-currency (USD/LYD) accounting, shipment tracking, and financial reporting—powered by Python and SQL Server. Designed as a complete end-to-end tool for personal business use.
View ProjectThis Photo by Unknown Author is licensed under CC BY-SA-NC 4.0.
Developed a 1D neutron diffusion solver to simulate fixed and fission source behavior in heterogeneous media. Implemented using the finite volume method and an optimized Gauss-Seidel solver, the model supports vacuum and reflective boundaries and visualizes neutron flux and convergence over time.
View ProjectRanked 10th nationwide in Libya’s joint high school exit exam among over 60,000 students.
Awarded a prestigious four year full ride scholarship from Libya's Ministry of Higher Education.
Inducted into Tau Beta Pi engineering honor society for high academic achievement.