Master of Business Administration, MBA
• Primary Coursework: Data Wrangling, Leadership and Organizations, Negotiations, and Strategic Management
• GPA: 4.00/4.00
• Primary Focus: Data Analytics
Hello, my name is
Almaamar Alkiyumi
I'm graduating in May 2026 with a dual degree in Computer Science (B.S.) and Business Administration (MBA) from the University of Cincinnati. I bring a strong foundation in data science, machine learning, and software development, paired with a strategic understanding of business and decision-making. I specialize in transforming complex data into clear, actionable insights that drive real-world impact. I thrive at the intersection of technology and strategy, where analytical thinking meets business value. I'm currently seeking full-time data science opportunities where I can contribute immediately and continue growing as both a technical expert and a strategic thinker.
Education
Bachelor of Science, Computer Science
• Primary Coursework: Artificial Intelligence, Cloud Computing, Deep Learning, and Network Security
• GPA: 3.95/4.00
• Minor: Communication
• Dean’s List Recognition: 8 out of 8 full time semesters
• Fully Funded Scholarship: earned a prestigious, fully funded study abroad scholarship from the Ministry of Higher Education, Research and Innovation of Oman to attend a top 100 U.S. academic institution; awarded to the top 0.01% of 35,000 applicants for exceptional academic performance and potential
Skills
Languages
- Python
- HTML
- CSS
- JavaScript
- TypeScript
- C/C++/C#
- Visual Basic for Applications (VBA)
Frameworks
- Django
- React.js
- Flask
- RESTful API
- Pandas
- NumPy
- Matplotlib
- Scikit-learn
- Beautiful Soup
- NLTK
- Selenium
- Next.js
- Node.js
- Scapy
- TensorFlow
- Pytorch
- + More
Databases
- PostgreSQL
- MySQL
- SQLite
- MongoDB
Tools & Platforms
- Git/GitHub
- AWS Cloud Services
- Microsoft Azure
- Google Cloud Platform
- Netlify
- Vercel
- Docker
- WireShark
- MATLAB
- LabVIEW
- Visual Studio/ VS Code
- Microsoft Office Suite
Operating Systems
- macOS Monterey and later
- Windows 7 and later
- Linux Ubuntu 22.04.2 and later
- iOS 7 and later
- Android Marshmallow and later
Experience
Midea America Research Center
• Architected a hybrid RAG system integrating FAISS vector search and Neo4j graph traversal, positioned to eliminate a $15,000/year vendor tool while delivering a 40% increase in document retrieval precision
• Refined system performance using top-k recall evaluation to maintain high output quality in production environment
• Engineered CI/CD pipelines linking GitHub, S3, Lambda, and CloudFormation, enabling one-click deployments, reusable cloud architecture, and automated QuickSight dashboards powered by live scraping data
Midea America Research Center
• Led a team of 3 in designing and deploying a scalable e-commerce data scraping and analytics platform, leveraging AWS CloudFormation for infrastructure-as-code and automating workflows across 6 major retail sites
• Built and deployed a multithreaded scraper using Selenium, ScrapingBee, and Unwrangle API, orchestrated with AWS Step Functions and Lambda, with data stored in S3 and processed using Pandas for analytics
• Developed a responsive Flask and React GUI to simplify complex scraping operations for business users, reducing manual work by 95% and enabling easy access to AWS-powered automation
Midea America Research Center
• Saved $60,000 annually by implementing web scraping solutions with Beautiful Soup and Pandas, streamlining the workflow for business users and enhancing research capabilities
• Increased insight accuracy by 25% and saved 10 hours per week by leveraging AI and natural language processing to perform text and sentiment data analysis, improving efficiency in extracting insights from unstructured data
• Developed dynamic dashboards with AWS Quicksight and documented actionable insights in technical reports, demonstrating strong problem-solving and clear communication within cross-functional teams
The Cincinnati Insurance Company
• Reduced data retrieval time by 30% and enhanced contract management system performance for over 10,000 daily users by streamlining database performance in SQL Server Management Studio (SSMS)
• Drove significant improvements in functionality and user experience by closely collaborating with senior developers and cross-functional teams to integrate new features and enhancements into the ASP.NET MVC application server
• Led the migration of ASP.NET MVC applications from Team Foundation Server (TFS) to GitHub, and automated builds and continuous integration using CI/CD tools, resulting in 10% faster deployment
University of Cincinnati
• Administered group study sessions of approximately 70 students in a cross-cultural setting
• Assisted students with in-class activities and graded weekly assignments and exams
Deloitte & Touché
• Collaborated with Deloitte and international client teams supporting global appliance brands like Samsung and GE Appliances to analyze backend systems driving consumer engagement, product quality, and strategic insights
• Evaluated core digital infrastructure across product lifecycle, consumer data, and service platforms identifying operational gaps and insight blind spots that directly impacted competitiveness
• Delivered benchmarking reports and recommendations that optimized data pipelines, improved dashboard accuracy, and strengthened consumer analytics and CRM capabilities across top home appliance firms
Projects
E-commerce Scraper Application
AWS-Powered Business Intelligence Solution
Built a comprehensive full-stack web scraping and analytics platform for e-commerce market analysis. This cloud-native data pipeline automates product price monitoring, customer review sentiment analysis, and competitive intelligence across major retailers like Amazon, Walmart, and Costco.
Key Technologies: AWS Lambda, Step Functions, S3, QuickSight, React.js, FastAPI, Selenium WebDriver, ScrapingBee API, Pandas, NumPy, Beautiful Soup
Business Impact: Reduced manual data collection time by 95%, automated competitive pricing analysis, and enabled real-time market insights through interactive dashboards. Processes 10,000+ products daily with 99.5% uptime using AWS serverless architecture.
YouTube Scraper & Downloader
Automated Video Content Management System
Developed a Chrome browser extension and Python automation suite for large-scale YouTube video content acquisition. The solution combines front-end JavaScript for URL extraction with back-end Python multithreading for concurrent downloads.
Key Technologies: Chrome Extension API, JavaScript ES6+, HTML5, CSS3, Python, yt-dlp, multithreading, file I/O operations, browser automation
Performance Features: Multi-range video selection, batch processing capabilities, concurrent download optimization, and automated file management. Supports playlist extraction and bulk operations for content creators and researchers.
Online Shopping Application
Full-Stack E-commerce Web Application
Engineered a comprehensive online retail platform using Django REST framework and React.js with PostgreSQL database integration. Features complete shopping cart functionality, user authentication, inventory management, and order processing systems.
Key Technologies: Django, Django REST Framework, React.js, PostgreSQL, HTML5, CSS3, JavaScript, SQLAlchemy ORM, RESTful APIs
Features: User registration/authentication, product catalog management, shopping cart persistence, secure payment processing simulation, admin dashboard, responsive web design, and database optimization for high-performance queries.
Autonomous Product Retrieval System
AI-Powered Autonomous Robotics System
Designed and programmed an intelligent autonomous robot for warehouse automation and logistics operations. Implements computer vision for barcode recognition, path planning algorithms, and obstacle avoidance using sensor fusion.
Key Technologies: Python, OpenCV, LEGO Mindstorms EV3, barcode scanning libraries, sensor integration, path planning algorithms, real-time control systems
Capabilities: Autonomous navigation, barcode-based target identification, object manipulation and transport, dynamic obstacle avoidance, and mission-critical reliability for industrial automation scenarios.
Multi-Threaded Web Server and FTP Client
High-Performance Network Server Architecture
Built a production-ready multi-threaded web server and FTP client system in Python, designed for handling concurrent client requests with enterprise-level reliability. Demonstrates advanced network programming and protocol implementation.
Key Technologies: Python sockets programming, multi-threading, HTTP protocol implementation, FTP protocol integration, concurrent request handling, network security
Performance Features: Concurrent client connection management, thread pool optimization, efficient file transfer protocols, robust error handling, and scalable architecture supporting 100+ simultaneous connections.
Multi-Threaded Bulletin Board System
Distributed Client-Server Communication System
Architected a sophisticated bulletin board platform using advanced socket programming with Python and Java integration. Features real-time messaging, user management, and seamless phase transitions for enhanced user experience.
Key Technologies: Python sockets, Java networking, TCP/UDP protocols, multi-phase architecture, client-server communication, real-time messaging, thread synchronization
System Features: Real-time message posting and retrieval, user authentication, persistent data storage, concurrent user support, and modular architecture enabling live system upgrades without service interruption.
Activities
President of the Omani Student Association
• Represented the Omani Student Association as the primary spokesperson, cultivating relationships with university officials, student organizations, and the broader community to advocate for the needs of Omani students
• Led the planning and execution of diverse cultural, social, and academic events, coordinating logistics, managing resources, and ensuring successful outcomes that enhanced the student experience
• Mentored and guided new students, offering academic and social support to ensure successful integration into university life, while encouraging leadership and personal growth within the association
McKinsey & Company EDAD program Alumnus
• Selected as one of the top 25 candidates from a pool of 15,000 applicants to attend the prestigious McKinsey EDAD program in New York City, gaining essential skills in business analytics and strategic problem-solving
IBM Internet of Things Practitioner
Cisco Introduction to Cybersecurity
• Analyzed attack types and system vulnerabilities, identifying threats and improving security measures
IBM Enterprise Design Thinking Practitioner
Connect With Me
I am always open to establishing meaningful professional connections. If you are interested in connecting, please don’t hesitate to get in touch.
