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
This project is a full-stack e-commerce web scraping and analytics platform that automates the extraction, processing, and visualization of product and review data from online retailers. It features a React frontend and a Flask/FastAPI backend, offering a seamless and intuitive user experience. The system integrates scraping tools like Selenium, ScrapingBee, and the Unwrangle API, while leveraging AWS services including S3 for storage, Lambda for automation, Step Functions for workflow orchestration, and QuickSight for real-time data visualization. This cloud-native solution reduces manual data collection by over 95% and supports scalable, efficient business intelligence.
YouTube Scraper & Downloader
This project includes a Chrome extension built with HTML, CSS, and JavaScript that lets users extract and select YouTube video URLs directly within the browser. Features such as multi-range selection, select-all, and exporting the chosen URLs to a .txt file provide flexible control over video selection. Complementing this, a Python script reads the exported file and uses yt-dlp combined with multithreading to download videos concurrently, optimizing speed and efficiency. Together, these components create a seamless, end-to-end workflow that simplifies and accelerates large-scale video data collection.
Online Shopping Application
The Online Shop Application provides a platform for customers to browse products, add them to a shopping cart, and place orders. It also includes functionality for managing products, customer accounts, and inventory, accessible through a web interface.
Autonomous Product Retrieval System
Developed an advanced autonomous robot designed to navigate to specific locations based on barcode data. The robot reads barcodes to identify target locations, retrieves objects, and transports them to the designated spots while continuously avoiding obstacles to ensure smooth operation.
Multi-Threaded Web Server and FTP Client
The project is divided into two main tasks: the first task involves developing a multi-threaded web server in Python designed to handle concurrent client requests efficiently. This server is capable of managing multiple client connections simultaneously, providing robust and scalable web services. The second task extends the server's functionality by integrating an FTP client component, which enables the server to connect to a local FTP server and download text files. This extension not only showcases the server's versatility but also its ability to manage both web and FTP protocols within a single application.
Multi-Threaded Bulletin Board System
This project provides a comprehensive client-server bulletin board system implemented using pure unicast sockets. It is developed in two phases: the first phase establishes the basic functionalities, including posting, viewing, and managing messages, while the second phase extends these capabilities with advanced features and enhancements. The entire system is integrated into a single codebase, allowing users to seamlessly transition between the phases without disconnecting from the server. This unified approach demonstrates effective socket programming and client-server communication through a fully operational and feature-rich bulletin board system.
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.
