Industrial Engineering · Operations · Analytics

Omar Nagem.

An Industrial & Systems Engineer who does not just analyze workflows on paper, but builds custom software, models, and physical solutions to optimize them in the real world.

Highest Honors industrial engineering student at UT Arlington. I've run dealership operations, timed passenger flows at DFW Airport, and shipped a management system that's still in production.

UTA Honors · Class of 2027 · Arlington, Texas

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Tools and methods I reach for

Methods: Time studies
Process mapping
Statistical analysis
Root-cause analysis
Optimization
Machine learning
Systems design
Tools: Python
SQL
Excel / VBA
R
AutoCAD
SolidWorks

Selected evidence

−50%

Passenger-flow data processing time

Excel-VBA collection tool · DFW Airport

98%

Passenger-flow data accuracy

Sensor network maintenance · DFW Airport

R² 0.9366

Fuel economy prediction (Random Forest)

~40,700 EPA vehicle records · UTA

LIVE

Production system

Built and deployed inside a used-car dealership

Approach

One method, different environments. I've applied the same approach to a dealership, an airport, and a research lab.

View as

Operations Engineering

Time studies, workflow analysis, and process improvement, applied to a 150-vehicle dealership and the second-busiest U.S. airport.

Process improvement
Work measurement
Time studies
Root cause analysis
Statistical analysis
Inventory & compliance
Queueing & cost analysis

Field research at DFW

Data & Machine Learning

Python, SQL, and VBA/Excel analytics that turn raw records into evidence, from VBA collection tools to a comparative ML study.

Python (pandas, NumPy, scikit-learn)
SQL
VBA / Excel
Statistics & hypothesis testing
Regression & classification
Ensemble methods
Power BI · Tableau

ML fuel economy study

Systems & Automation

Full-stack systems that make it from idea to production and stay there. Built with Next.js, TypeScript, Prisma, and PostgreSQL.

TypeScript · JavaScript
React · Next.js
Prisma · PostgreSQL
Tailwind CSS
REST & API design
Git · Render

Dealership management system

How I work

I start with the system as it actually operates. I collect the data, find the constraints, analyze the problem, build a practical solution, and check whether it worked.

Measure · Analyze · Design · Build · Verify

STEP 01
Measure
Collect data before changing anything: time studies, logs, direct observation.
STEP 02
Analyze
Turn records into evidence: statistics, models, root-cause analysis.
STEP 03
Design
Design the fix around real constraints like cost, capacity, and people.
STEP 04
Build
Build the tool, process, or system, then deploy it for real use.
STEP 05
Verify
Check outcomes against targets, then iterate until the numbers move.

Selected work

A deployed product, field research at an airport, a machine-learning study, and a Markov-chain market analysis. Each one is a full cycle of measure, analyze, build, and verify.

Dealership Management System

Cars For Less Inc · 2022 to Present

Dealership platform built from the work itself: Excel and VBA tools grew into a single system of record with a public website and browser-side VIN recognition, live at carsforlesstexas.com.

Next.js
React
TypeScript
PostgreSQL

Live in productionCase study

DFW Airport Field Research

Dallas Fort Worth International Airport · Aug to Sep 2025

Excel-VBA tool cut processing time over 50%, sensor network audited to 98% accuracy, AutoCAD layouts applying queuing theory, and an OSS evaluation for airport leadership.

Excel VBA
AutoCAD
Time Studies
Statistical Analysis

Presented to leadershipCase study

ML Fuel Economy Prediction

UTA College of Engineering Innovation Day · April 14, 2026

Random Forest outperformed KNN and SVR with R² = 0.9366 across ~40,700 EPA vehicle records; co-authored poster at Innovation Day.

Python
scikit-learn
pandas
NumPy

Research poster presentedCase study

Markov Market Regime Classification

Independent study · October 2026

Two-state Markov chain on 2,244 S&P 500 trading days (2015 to 2024): 93.6% Bull-state persistence and a 68.3% long-run Bull probability.

Python
NumPy
Pandas
Markov Chains

Analysis completeCase study

More projects

WAAM Process Optimization (research)ML on wire-arc additive manufacturing process data2026 · Complete
Campus Location Efficiency StudyTime study identifying a 22% efficiency gap across service points2025 · Complete
Robotic Arm Design & BuildSolidWorks design, 3D printing, and Arduino control, on budget2026 · Complete
IISE Food Drive Risk FrameworkQuantitative risk modeling for the Maverick Pantry food drive2026 · Complete
Career Financial Planning (NPV)Two 20-year plans modeled in Excel with NPV analysis2024 · Complete

Experience

My experience spans daily business operations, industrial engineering field research, and university research.

Cars For Less Inc
Arlington, TX
Consultant
Aug 2025 to Present
Operations Analyst
Sep 2022 to Aug 2025
150+ vehicle dealership. Cross-functional support across sales, operations, marketing, and technology, plus the systems supporting them.
- Designed and directed the development of a full-stack dealership management system — defining business requirements, workflows, systems architecture, features, and business logic while using AI-assisted development to guide implementation across Next.js, React, TypeScript, Prisma, PostgreSQL, and Tailwind CSS — deployed to support inventory management and administrative workflows, live at carsforlesstexas.com.
- Provided cross-functional business support across sales, customer relations, inventory, operations, technology, and day-to-day decision-making for a 150+ vehicle dealership.
- Designed and implemented a DMADV operational improvement plan addressing reconditioning workflow, inventory visibility, and customer experience.
- Built a centralized VBA/Excel decision-support system for inventory valuation, cost tracking, and pricing analysis, replacing fragmented manual records with structured data.
- Analyzed customer feedback, operating costs, market conditions, pricing, inventory, and trends to support evidence-based business decisions.
- Responded to an operational disruption within 24 hours, coordinating resources to safeguard $50,000+ in business assets and maintain business continuity.
- Managed DMV Web Dealer operations, plate inventory, title processing, and inventory tax filings to support regulatory compliance.
- Operations
- Systems
- Data
- Process Improvement
Dallas Fort Worth International Airport
Dallas, TX
Field Research Intern (project-based)
Aug to Sep 2025
Field research with industrial engineers at the second-busiest U.S. airport, measuring passenger flow, automating data collection, and evaluating security operations.
- Audited a terminal sensor network by comparing automated logs against manual time-study data, resolving system glitches to maintain 98% data accuracy for passenger-flow metrics.
- Automated passenger tracking by building an Excel-VBA tool with color- and gender-coded buttons, eliminating human tracking errors and cutting data processing time by over 50%.
- Built a custom asset-tracking heat map by mapping airport seating in AutoCAD and linking the visuals to Excel scatter plots, using VBA forms and procedures to automate data entry and speed up maintenance repairs.
- Redesigned passenger checkpoint layouts in AutoCAD, applying queuing theory and flow analysis to eliminate line bottlenecks, optimize lane capacity, and reduce wait times.
- Evaluated the world's first One Stop Security (OSS) initiative by conducting peak-hour time studies across screening, baggage handling, and ground operations to validate efficiency gains for airport leadership.
- Optimized CTX baggage-routing machines at airline ticket counters, accelerating bag handling speeds while preventing passenger tampering after luggage weighing.
- Industrial Engineering
- VBA
- AutoCAD
- Time Studies
InspirED / Higher Education Servicing Corp
Arlington, TX
High School Mentor
Jan to Mar 2026
College-access mentoring for first-generation and underrepresented students across the DFW area, helping them and their families navigate the path to college.
- Guided 25+ DFW high school students through college applications, FAFSA/TASFA, scholarships, resumes, and academic planning.
- Served as a liaison among students, families, and school counselors; tracked progress through setbacks and resource access.
- Mentorship
- Financial Aid
- Community

Leadership & Service

I look for chances to take responsibility for people, projects, and outcomes. That shows up as representing engineering students in Student Government, helping lead campus organizations, and organizing community service.

Engineering Senator

2026 to Present

UTA Student Government

Elected to represent engineering students; draft resolutions and conduct policy research.

Founding Officer & Treasurer

2025 to Present

SPWLA DFW Student Chapter

Set up chapter finances; organized professional events linking 20+ students with industry geoscientists and engineers.

Vice President

2026 to Present

The Clear Islam (UTA)

Progressed from volunteer to treasurer to vice president; oversee strategy, officer coordination, budgeting, and campus programming engaging 100+ students per semester.

Volunteer

2022 to Present

Dar El Salam Islamic Center

Organize community events, food distributions, and youth programs supporting DFW families.

Member

Present

IISE · Entrepreneur Club (UTA)

Institute of Industrial and Systems Engineers; UTA Entrepreneur Club.

About

The résumé tells you what I did. This is why.

I'm an industrial engineering student at UT Arlington on Highest Honors, and I've been running real operations since before I started university. Since 2022 I've managed day-to-day operations at a family dealership in Arlington, covering inventory, pricing, and the software that supports it.

In the summer of 2025 I spent two months inside DFW International Airport, timing peak-hour passenger flows, automating data collection with Excel-VBA, and redesigning checkpoint layouts in AutoCAD. Today I contribute to faculty-led machine learning research on wire-arc additive manufacturing, and I represent engineering students in UTA Student Government.

I grew up in Palestine before moving to Arlington, Texas. Working across operations, engineering research, and technology has shaped how I approach problems: understand the system first, then build what actually improves it.

Education

B.S. Industrial Engineering (Highest Honors)

University of Texas at Arlington · Expected Fall 2027

GPA 3.86 · Honors College

Dean's List, College of Engineering, Fall 2025 and Spring 2026.

Arafat High School for Gifted Students, Palestine (2021 to 2022), a competitively selected STEM program.

Coursework +

Systems Engineering
Operations Research I & II
Decision Analysis
Engineering Probability & Statistics
Data Analysis
Metrics & Measurement
Production & Inventory Control
Enterprise Design
Automation & Robotics for Service & Manufacturing Systems
Engineering Project Management
Engineering Research Methods
VBA for Engineers
Python

Recognition

Lean Six Sigma White Belt, CSSC, September 2026
Lean Six Sigma Green Belt, CSSC, in progress
Lean Six Sigma Black Belt, CSSC, in progress
Dean's List, College of Engineering, Fall 2025 and Spring 2026
American Dream Scholarship, 2024
Freshman Distinction Roll, Fall 2024
Honor Roll, Spring 2025

Profile

Languages: English · Arabic
Interests: Operations research · Systems engineering · Machine learning · Applied analytics · Entrepreneurship

Contact

Let's build something measurable.

Open to internships, research, and full-time roles starting 2027, plus problems worth solving before then. If a system of yours is slow, I'm interested.

EmailIE.Omar.Nagem@gmail.com

Phone+1 817-825-5375

LinkedInlinkedin.com/in/omar-nagem

Dealership systemcarsforlesstexas.com