Hi, I am a recent graduate with a Master’s degree in Computer Science and a strong interest in using technology to address real-world challenges. Over the past few years, I have developed a passion for creating systems that are efficient, reliable, and user-friendly. Through my studies and hands-on experience, I have learned how software can enhance daily tasks and drive innovation. I enjoy learning new skills, tackling challenges, and collaborating with others to achieve common goals. I am now seeking a full-time position where I can grow professionally, contribute to meaningful projects, and be part of a team that values progress and collaboration.

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I’m Seth Kofi Agbavitor, a Computer Science Master’s graduate from the University of Stavanger, specializing in AI, software testing, and data science. Proficient in Python, C#, and Azure DevOps, I built an AI-based test scheduler for ABB Robotics, cutting execution time by 20%. I’m passionate about creating efficient solutions and eager to contribute to innovative projects. Explore my work below!

Skills

Projects

Master Thesis: AI-Based Software Test Case Scheduling System

Developed an AI system for ABB Robotics using reinforcement learning and Google OR-Tools’ CP-SAT solver to optimize test case scheduling, reducing execution time by 20%. Automated tests with Python and REST APIs, integrated with Azure DevOps and Cosmos DB. Tech: C#, Python, Azure DevOps, Google OR-Tools, Azure Cosmos DB.

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Diabetes Patient Re-admission Prediction

Built a supervised machine learning model in Python to predict diabetes patient re-admissions by analyzing large datasets for risk patterns. Improved accuracy using data analysis and visualization techniques. Tech: Python, Machine Learning, Data Visualization.

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Big Data Processing: Iowa Liquor Sales

Designed a data pipeline using Hadoop and Spark to process the Iowa Liquor Sales dataset, optimizing performance with caching and data cleanup for reliable, high-quality results. Tech: Hadoop, Spark, Data Processing.

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Discrete Simulation: Soccer Boot Manufacturing

Developed a discrete event simulation to optimize and analyze a leather soccer boot manufacturing workflow using MATLAB and the General Purpose Petri Net Simulator (GPenSim) with Petri Net models. Tech: MATLAB, GPenSim, Petri Nets.

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CHIC CLOSET E-Commerce Website

Built an e-commerce platform with a product gallery, shopping cart, and category-based filtering using SQL queries. Features a responsive UI with Bootstrap’s card layout and SQLite for data storage. Tech: Python Flask, HTML, JavaScript, CSS, Jinja2, SQLite, jQuery, Bootstrap.

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