Mohammed Noman
Addison
Summary
Technology professional with a Bachelor’s degree in Information and Decision Sciences (Management Information Systems), and foundational knowledge of cloud computing. Experience in customer-facing technology roles and consulting-based academic projects, with exposure to systems analysis and business technology alignment. Strong communicator, skilled in supporting users, translating technical concepts, and collaborating across teams in fast paced environments.
Overview
2
2
years of professional experience
3
3
Certifications
Work History
Sales Specialist
Apple
Schaumburg
07.2024 - Current
- Provided technical troubleshooting and product support for Apple hardware, software, and account-related issues.
- Diagnosed customer problems efficiently in a high-volume, fast-paced environment while maintaining high customer satisfaction.
- Communicated complex technical concepts clearly to non-technical users.
- Collaborated with team members and leadership to resolve escalations and improve the customer experience.
- Participated in team meetings to review progress against objectives set by management.
Full Stack Developer
UrbanGrow
Chicago
09.2025 - 11.2025
- Developed a full-stack v1 application for iOS using Flutterflow (front-end) and Firebase(backend), delivering a functional marketplace platform.
- Integrated Google Maps API for location-based discovery of farmers' markets, and Stripe for secure payments, checkout, and cart functionality.
- Built core application features, including user authentication, shopping cart, order processing with order IDs, and transaction workflows.
- Designed a vendor management and review system, enabling vendor profiles, customer feedback, and platform trust.
- Created a vendor analytics dashboard to track performance metrics, engagement, and operational insights in a consulting team environment.
Education
Bachelor of Science - Information And Decision Sciences
University of Illinois At Chicago
Chicago, IL12-2025
Skills
- Database management
- AWS
- Firebase
- Agile methodologies
- Cross-functional collaboration
- API integration
- Java
- Python
- Excel
- Microsoft Office
- Tableau
- Consultation
Projects
AI Spam Email Sorter
- Developed email classification program in Google Colab to identify SPAM vs. legitimate (HAM) emails using Python
- Implemented a Naive Bayes classification model to support probabilistic decision-making
- Designed logic to score emails by likelihood of spam, expressed as percentage-based confidence
- Applied data preprocessing and basic feature extraction techniques to support model accuracy
- Demonstrated understanding of machine learning fundamentals, classification workflows, and model evaluation
Certification
AWS Academy Cloud Foundations
Timeline
Full Stack Developer
UrbanGrow
09.2025 - 11.2025
Sales Specialist
Apple
07.2024 - Current
Bachelor of Science - Information And Decision Sciences
University of Illinois At Chicago