Mo_Port

Mohamed
Atiyah

Business & Data Analyst

Undergraduate Student at UOWD studying Business Information Systems with an interest of building scalable systems, data-driven products, and user-centered experiences. Available for full-time opportunities and freelance engagements.

About

Strategic technologist combining systems design, product thinking, and execution.

Currently pursuing a business information systems program with a focus on distributed systems, machine learning, and human-computer interaction. Previous work spans technical product development, UX research and design, and go-to-market strategy.

Experienced in translating business objectives into technical architectures, leading cross-functional teams, and shipping products from zero to scale. Strong foundation in data structures, algorithms, cloud infrastructure, and modern development practices.

Seeking roles in product engineering, technical program management, or systems architecture where strategic thinking meets hands-on execution.

Core Competencies
Full-Stack Development
Digital Marketing
Business Analysis
Product Management
Data Analysis/Science
Technical Stack
Languages
Python
Java/TypeScript
HTML/CSS
C++
SQL
Frameworks
Mermaid.js
Node.js
Design
Figma
Canva
Davinci Resolve
Capcut
Tools
Neon API
Resend API
Clerk API
Stripe API
Vercel API

Education

Bachelor of Business Information System
2024 – 2027
University Of Wollongong in Dubai
Focus: Business & Data Analysis
Relevant Coursework: MATH255 Mathematics for Computing, ISIT224 Management Information Systems, ISIT204 Principles of e-Business, CSIT214 IT Project Management, CSIT226 Human-Computer Interaction, CSCI218 Foundations of Artificial Intelligence, CSIT314 Software Development Methodologies.
Bachelor of Science in Computer Science
2022 - 2024
American University of Sharjah
Focus: General Computer Science
Relevant Coursework: MTH103 Calculus 1, MTH104 Calculus 2, MTH213 Discrete Math, PHY101 General Physics 1, PHY102 General Physics 2, NGN110 Introduction to Engineering & Computing, NGN111 Introduction to Statistics & Probability, NGN112 Introduction to Artificial Intelligence & Data Science, NGN29401 Sustainable Development, NGN29402 Statistics for Engineers, ECO201 Microeconomics, CMP120 Programming 1, CMP220 Programming 2.

Experience

Technology
Software Developer Intern
Sliverline Future Analytics
Jan 2026 - Apr 2026

Developed and contributed to a prototype platform using TypeScript, Node.js, and modern CSS frameworks. Implemented scalable frontend and backend features aligned with evolving product requirements. Actively participated in usability testing to refine UI elements and validated backend functions through systematic defect testing. Collaborated on development workflows using Docker, Vercel, Neon, Resend, and GitHub to support efficient iterative prototyping.

Engineered and integrated modular full‑stack components to enhance system scalability, maintainability, and performance.
Optimized frontend rendering and state management, reducing UI latency and improving load efficiency.
Performed backend diagnostics and implemented targeted defect fixes, increasing API reliability and response accuracy.
Automated build and deployment processes via Docker and GitHub workflows, streamlining CI/CD for rapid prototyping cycles.
Conducted structured usability evaluations and A/B testing, translating user metrics into actionable design and code refinements.
Product Analyst Intern
Sliverline Future Analytics
Nov 2025 - Jan 2026

Conducted feasibility assessments to determine the technical and operational viability of proposed platform features. Collaborated with stakeholders to gather and refine user requirements into detailed system specifications. Supported product roadmap planning, feature prioritization, and long-term growth initiatives. Contributed to the exploration of monetization strategies, sponsorship models, and partnership opportunities. Assisted in validating requirements and analyzing change impacts throughout the product development lifecycle.

Executed quantitative and qualitative feasibility studies using technical metrics and operational benchmarks to guide feature approval decisions.
Translated ambiguous stakeholder inputs into structured, actionable system requirement documents leveraging UML and functional modeling techniques.
Contributed analytical inputs to product backlog prioritization using impact–effort evaluations and dependency mapping.
Developed business model simulations and revenue pathway analyses to support monetization and strategic partnership proposals.
Implemented change impact assessment workflows to ensure requirement traceability and minimize regression risks across iterative releases.
Growth & Marketing
Marketing Intern
Edukko Learn FZE
Apr 2026 - Jun 2026

Ongoing.

Ongoing.
Creative Manager Intern
TikTok
Aug 2025 - Oct 2025

Led a data-driven project focused on analyzing creator performance and platform stability using Python. Developed analytical models and segmentation frameworks to evaluate creators based on revenue, engagement, and content quality. Built tools and dashboards to track participation impact and campaign effectiveness for creative agencies and managers. Designed and executed multiple campaigns to validate data insights while supporting performance reporting and improvement strategies for managed creator groups.

Engineered a Python-based data analysis pipeline utilizing pandas and NumPy to segment creators by stability and performance consistency across timeframes.
Implemented custom scoring algorithms that quantified creator stability through weighted metrics including revenue trends, content quality ratings, and engagement volatility.
Developed and deployed a campaign participation tracking system with automated data ingestion and real-time impact visualization dashboards.
Created a percentage-based contribution index that enhanced transparency in individual creator performance reporting and campaign outcome measurement.
Designed and launched two multi-mission campaigns, achieving a 15%+ improvement in performance KPIs relative to baseline metrics.
Analyzed historical activity data for over 400 TikTok LIVE creators, using Excel and Python scripts to generate comparative performance reviews spanning 7-, 14-, and 30-day windows.
Product Marketing Intern
+twe
Apr 2024 - Jun 2024

Conducted business and market analysis for a gamified educational application used within the university setting. Collaborated with cross-functional teams through online platforms to align marketing, product, and development strategies. Supported product enhancement by contributing to feature ideation, content design, and data-driven decision-making based on research and performance evaluation.

Performed detailed business case studies assessing the app’s market fit and performance in a university context, identifying adoption challenges and user engagement opportunities.
Proposed and validated new feature concepts and event ideas to strengthen product marketing strategies targeting university students.
Collaborated efficiently with remote teams via Google Meet, bridging communication between development and marketing units for coordinated release planning.
Enhanced the gamified learning interface by developing data-informed quiz questions, copy, and feedback prompts, directly improving user engagement metrics.
Conducted web scraping and data analysis on university directories and search platforms to extract statistical insights that informed feature prioritization and content strategy.
Marketing Intern
Testvox
Feb 2024 - May 2024

Supported influencer marketing and community development initiatives focused on software testing and development professionals in the MENA region. Engaged with industry influencers via LinkedIn to expand the organization’s professional network. Collaborated with teams in planning and analyzing campaigns, contributing creative strategies to strengthen marketing efforts and website content.

Identified and engaged with high-value influencers and thought leaders across LinkedIn using data-driven search and outreach methods, helping grow the company’s MENA industry network.
Assisted in developing long-term influencer relationship pipelines to increase retention and collaboration frequency.
Contributed to multi-stage campaign execution, overseeing content scheduling, audience targeting, and post-campaign analysis for accuracy and impact.
Proposed creative content and segmentation strategies that enhanced the visibility and effectiveness of influencer-led campaigns on the official website and social channels.
Applied structured online research and analytics to uncover new community growth opportunities, improving engagement tracking and collaboration quality metrics.
Marketing Intern
Testvox
Aug 2023 - Sep 2023

Supported digital marketing and community engagement efforts by connecting with software testing and development professionals across the MENA region. Collaborated with cross-functional teams to plan and execute influencer marketing campaigns, leveraging industry insights to enhance outreach effectiveness. Contributed to relationship-building initiatives with technical and project-focused stakeholders to strengthen the company’s professional network.

Identified and established connections with key influencers and professionals, including project managers, QA engineers, and project engineers, using data-backed engagement strategies on LinkedIn.
Assisted in developing structured influencer relationship management processes to improve collaboration efficiency and communication consistency.
Participated in campaign lifecycle management—from planning to performance analysis—translating engagement data into actionable optimization insights.
Proposed and implemented creative collaboration concepts to increase campaign reach, authenticity, and visibility within technical audiences.
Applied strategic data analysis and trend tracking to uncover new community growth opportunities and strengthen digital presence within the MENA software testing ecosystem.
Communication
Guest Engagement Intern
OliOli Childern Muesum
Nov 2024 - Dec 2024

Facilitated STEM education and engagement sessions at a science museum, guiding children and families through interactive learning galleries and exhibits. Communicated STEM concepts through hands-on demonstrations and immersive presentations. Contributed to improving guest experience by fostering learning curiosity, ensuring visitor satisfaction, and collaborating with the team on engagement initiatives.

Delivered over 50 hours of STEM-focused educational sessions, simplifying complex concepts for young learners using interactive exhibits and demonstrations.
Designed and delivered interactive learning activities that improved children’s comprehension and engagement across core science and engineering topics.
Strengthened visitor satisfaction by providing responsive, informative, and empathetic interactions with parents and students.
Supported continuous improvement of visitor engagement strategies by contributing feedback and ideas during staff coordination discussions.
Sales Outreach Intern
YSpot.io
May 2024 - Sep 2024

Assisted in client outreach and lead generation processes, maintaining comprehensive prospect records and communication logs. Collaborated with team members to identify, research, and qualify potential clients using online platforms. Supported strategy refinement by sharing feedback from interactions, participating in meetings to align on value propositions, and improving communication approaches for target audiences.

Maintained and updated prospect databases with high accuracy, ensuring seamless tracking of outreach activities, follow-ups, and lead progression across multiple channels.
Contributed actionable feedback from client conversations to enhance outreach messaging and product positioning strategies.
Utilized CRM tools and online research platforms to compile and verify qualified prospects and decision-makers, improving lead quality and conversion potential.
Executed multi-channel outreach campaigns via calls, emails, and social media, tailoring communication to prospect profiles and achieving improved engagement response rates.
Collaborated closely with cross-functional teams to refine lead qualification criteria and optimize client targeting efficiency.

Certifications

Growth & Marketing
Omnichannel Marketing Job Simulation
Forage
Oct 2025
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Merchandising Job Simulation
Forage
Oct 2025
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Google Digital Marketing & E-commerce
Google
Sep 2025
Y0GCTGPV0NTW
Marketing Analytics Foundation
Meta
Sep 2025
E2ROOQTDWC83
Search Engine Optimization (SEO) with Squarespace
Coursera Project Network
Jul 2025
I2R0UZ95KXR5
Google Ads for Beginners
Coursera Project Network
Mar 2024
BHGREZ43U7L
tECHNOLOGY
Foundations of Data Analysis with Pandas and Python
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Feb 2025
ZPAZWG1VFDLE
Python for Data Science, AI & Development
IBM
Feb 2024
JZR8SZALVNGB
Introduction to Data Analysis using Microsoft Excel
Coursera Project Network
Feb 2024
AUKA4A287YUR
Environmental, Social, and Governance
An Introduction to AI and Sustainability
LinkedIn Learning
Sep 2024
8f349c41fc4443b286e69c7e70f0435ada8b949aa22c92ebd1313defc1dbb57c
Leveraging Business Analysis in ESG
LinkedIn Learning
Sep 2024
1783f5a5b2ed499ae5c33e70956ca0d0b7c0fc6d6b54f7658e0d2033b993ce12
Sustainable and ESG Supply Chains
LinkedIn Learning
Sep 2024
e6c1c2c38a191557785a1e6d2bdf98293b78d58a88720deb334b8f0b84ff6f27
Sustainability Foundations: Core Concepts
LinkedIn Learning
Sep 2024
2b58452506500bcfddcf5d768d72d8efdb19c4b33156bf442e1c61a5bc8ac06b
Introduction to ESG: Environmental, Social, and Governance
LinkedIn Learning
Sep 2024
e5a6febc69c6605edf447ad3a00039af1b5543678294541c15ce0ea26184e2b7

Projects

"AUS Racing Team" - Official Website
Web Development
Frontend Developer
  • Developed a dynamic and responsive team website using HTML, CSS, and Python (Flask).
  • Designed the platform to highlight team members, achievements, newsletters, and sponsors, offering an engaging overview of the team’s activities and impact.
  • Focused on creating an intuitive user interface with straightforward navigation and well-organized content presentation. Integrated interactive features such as member profiles, sponsor highlights, and newsletter sections to encourage community engagement.
Figma
GitHub
CSS
HTML
Python
"AUS Racing Team" - Knowledge Database
Operation
Lead Project Manager
  • Built a Notion-based workflow management system to streamline operations across 8+ departments, enhancing coordination and information visibility.
  • Contributed to a detailed sponsorship proposal through institutional research to support funding efforts.
  • Led marketing and outreach initiatives within the university, organizing events and campaigns that promoted the project and fostered stronger engagement among students and faculty.
Notion
Outcome

Improved organizational efficiency and secured greater institutional visibility through integrated workflow tracking, strategic partnerships, and targeted promotional initiatives.

"Crave" - Food Delivery UX Prototype
Web Development
Frontend Developer
  • Designed and developed Crave, a multi-role food delivery platform prototype supporting customers, drivers, restaurant managers, and admins using TypeScript, JavaScript, and CSS.
  • Built responsive, accessible front-end interfaces with role-based architecture for tailored workflows and dashboards, applying HCI principles to optimize usability, reduce cognitive load, and drive engagement.
  • Conducted user research to inform data-driven design decisions, collaborated in a team for end-to-end prototyping, and deployed on Vercel for scalable, serverless hosting.
Figma
Github
Vercel
TypeScript
JavaScript
CSS
"Traveling Salesman Problem" - Genetic Algorithm Optimizer
AI/ML
ML Engineer
  • Developed a comprehensive genetic algorithm solution for the Traveling Salesman Problem (TSP) in a Jupyter notebook environment.
  • Generated random 2D city coordinates and implemented evolutionary optimization with tournament selection, ordered crossover (OX), swap mutation, and elite preservation strategies.
  • Created comparative analysis against brute force (optimal solution) and nearest neighbor heuristics, including convergence tracking, runtime benchmarking, and dynamic route visualizations to demonstrate algorithm performance.
Github
Python
Outcome

Achieved near-optimal TSP solution (420.33 distance units) in 69 seconds for 20 cities, outperforming nearest neighbor by 9.61% with superior scalability over brute force.

"Boston Housing Price Prediction" via Regression Analysis
AI/ML
ML Developer
  • Led the core coding and technical documentation for a regression analysis project on the Boston Housing dataset.
  • Implemented data loading, exploratory analysis (box plots, histograms, pair plots, and correlation heatmaps), and multiple regression models, including linear regression, linear SVM, polynomial SVM (degree 3), RBF SVM, and MLP neural networks.
  • Performed feature engineering, applied normalization techniques (MinMaxScaler, StandardScaler, or none), executed train-test splits across 3 random states, and explained key variables (e.g., RM, LSTAT, NOX, PTRATIO), libraries, and dataset characteristics to evaluate predictive performance on housing price (MEDV).
Python

Polynomial SVM with MinMax scaling achieved the best performance (MSE: 18.60, R²: 0.784), demonstrating superior predictive accuracy for housing prices across normalization techniques and splits.

TechTrek Challenge 2024: Tesla Mobility Hub (1st Place)
Operation
Market Analyst
  • Contributed to a team case study for the TechTrek Challenge at American University of Sharjah, addressing Tesla’s challenges in price volatility, market saturation, and competition in the UAE electric vehicle (EV) market.
  • Developed the “Tesla Mobility Hub,” a three-phase subscription-based platform offering access to EVs, scooters, micro-mobility options, and integrated public transit via a mobile app.
  • Analyzed market viability in Dubai, projected costs (e.g., AED 1.46M–2.75M for Phase 1 app and fleet), and competitive edges over Nissan, Hertz, and Avis.
Yahoo Finance
Bloomberg Terminal
Notion

Created a comprehensive business strategy for Tesla’s Mobility Hub, emphasizing sustainability, seamless UX, and multi-modal transport to position Tesla as a full mobility provider in the UAE EV market, while demonstrating financial foresight through detailed cost breakdowns and USP analysis that showcased skills in strategic planning, competitor benchmarking, and innovative problem-solving for real-world challenges—ultimately honing expertise in business case development applicable to UX design and EdTech platforms.

Contact

Response Time
Email inquiries< 24 hours
Urgent requests< 4 hours
Quote requests< 48 hours
Current Status
Open to full-time opportunities
Accepting freelance projects
Available for consultations