Hi, I'm Yaw Osei

A Computer Science Major

At Kwame Nkrumah University of Science and Technology (KNUST), Ghana exploring cybersecurity.

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About Me

My Introduction

I’m reading Computer Science at KNUST (Class of 2027). I do a bit of everything, with a soft spot for cybersecurity and AI/ML.

3.30 GPA
10+ Projects
20+ Months
Experience
Download My Resume

Skills

My Technical Skills

Programming Languages

Python

Bash

PowerShell

KQL

SQL

Java

IT Constructs & Cybersecurity

Operating Systems (Linux(Ubuntu) & Windows)

Networking (Network Protocols & Security Frameworks)

Cybersecurity (Log Analysis, Threat Detection, Incident Triage)

Technologies & Tools

Wazuh

Grafana

Wireshark

Microsoft Defender XDR

Qualification

My Personal Journey
Education

BECE

Ayeduase R/C
Basic School
2018 - 2020
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Basic School Summary :

  • Subjects Studied: Science, Maths, English, Social Studies, Asante Twi ,Religious & Moral Education ,Basic Design Technology, ICT.

  • Maintained a 90% average, ranked Top 3 (2020), and was the Overall Best Student in primary school. Inspired peers to focus on academics, leading to improved overall performance.

  • Played for the school football team, winning 2 district championships. Fostered team unity and encouraged 20+ students to join the team.

  • Assisted peers academically and represented the school in competitions. Mentored 10+ students who won district-level academic awards.

  • Excelled in Science, Mathematics, and ICT, enhancing technical proficiency. Encouraged peers to explore STEM, resulting in improvement in class performance.

WASSCE

Kumasi High School
High School
2021 - 2023
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High School Summary :

  • Subjects studied: Physics, Chemistry, Biology, Elective & Core Mathematics English, Social Studies , ICT, Physical Education, Integrated Science.

  • Founded and led Mathematics Circle, a peer tutoring program that enhanced student performance in math and science.

  • Achieved one of the highest mathematics grades among 500+ students, showcasing academic excellence.

  • Selected from 564 candidates for a 50-member team, solving 55% of questions through critical thinking.

  • Ranked among the top 10 graduates out of 1,029 students.

  • Managed dormitory life for 50+ students, ensuring safety, organization and conflict resolution.

BSc

KNUST
Undergraduate
2023 - Present
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Undegraduate Summary :

  • Strong foundation in Computer Science with coursework in Data Structures & Algorithms, OOP, Databases, Information Security, AI and Operating Systems.

  • Hands-on experience in incident response, log analysis, and digital forensics. Investigated live security events, detected and triaged threats, and implemented containment strategies that strengthened overall security posture.

  • Led cybersecurity education initiatives, organizing workshops and hackathons for 100+ students, mentoring first-years, and contributing to KNUST’s cybersecurity community through research and hands-on labs.

  • Certified in cybersecurity. Proficient in Grafana & Wireshark for monitoring, network traffic analysis, and intrusion detection. Developed and implemented automated scripts for vulnerability detection and incident response. Networked with industry professionals through events and training sessions with experts from Microsoft’s Security Operations, AWS Security, US Defense and Mandiant.

Projects

Most Recent Works

Text Encryption with AES

Text Encryption with AES is a Python-based tool that uses AES encryption in CBC mode to securely encrypt and decrypt text. It offers unique encryption for each operation, ensuring that sensitive data remains protected. The tool generates secure keys and handles padding automatically using PKCS7. A great educational tool for understanding AES encryption techniques. Contributions are welcome!

GitHub Repository See Live

Mframapa AI — Air Quality Forecasting App

As a lead a six-member team, I co-developed Mframapa AI to deliver 48-hour air quality forecasts. I trained and implemented XGBoost machine learning models on a diverse dataset from NASA and the EPA to accurately predict pollutant levels. The platform, initially developed in Python and Streamlit, is designed to make crucial environmental data accessible to underserved regions. Contributions are welcome.

GitHub Repository See Live

Real-Time Security Monitoring System

I architected a real-time security monitoring system using Grafana and Loki for advanced log visualization and alerting. This system enhances threat visibility by automatically detecting anomalies including failed logins, API abuse, and unusual traffic patterns. To improve operational readiness, I also authored an incident response checklist that streamlined team collaboration and accelerated mitigation efforts. Contributions are welcome.

GitHub Repository

Network Traffic Analyzer

Network Traffic Analyzer is a terminal-based real-time packet analysis tool aimed at monitoring network traffic and identifying anomalies. It provides in-depth insights into your network’s behavior with dynamic interface detection, live packet capture, and anomaly detection using Z-score analysis. Users can receive real-time alerts via email or Slack whenever suspicious patterns emerge. The tool also stores packet data in an SQLite database for further review. Feel free to contribute!

GitHub Repository See Live

TradaX — Crypto Trading App

TradaX is a full-featured cryptocurrency trading app built with Expo React Native (frontend) and Spring Boot + Java 17 (backend). It features real-time market data, a live news feed, OpenAI-powered AI assistant, and a fully functional trading engine. The project follows a modular monorepo architecture and includes dark/light theme toggle. Contributions are welcome!

GitHub Repository See Live

Password Analyzer

Password Analyzer is a simple yet effective tool for assessing the strength of passwords. It evaluates passwords based on length, complexity, and character variety, classifying them as Strong, Moderate, or Weak. This tool is designed to help users identify weak passwords and improve their security practices. Ideal for personal use to understand password security. Contributions are welcome!

GitHub Repository See Live

Custom Network Sniffer

Network Sniffer for Security Research is a tool designed to capture and analyze network packets for better understanding and securing network traffic. It supports various protocols like Ethernet, IP, TCP, and UDP and allows users to specify network interfaces and filtering options for tailored analysis. A valuable tool for security researchers to explore potential vulnerabilities. Contributions are encouraged!.

GitHub Repository See Live

Scantron Marker

This Python application is an application for marking Scantron/Scannable sheets. The program processes images of scannable sheets, identifies marked answers, compares them against an answer key and generates performance reports. Contributions are encouraged!.

GitHub Repository

Keylogger Software for Security Research

Keylogger Software for Security Research is a tool created for ethical research into keylogging techniques. It logs every keystroke, formats them for easy readability, and provides valuable insight into how keyloggers operate. This tool is strictly for educational purposes and is intended to assist in developing countermeasures for malicious keylogging software. Contributions and improvements are welcome!

GitHub Repository See Live

Contact Me

Get in touch

Contact Me

+233201240821

Email

adjeiyawosei@gmail.com

Location

Kumasi, Ghana
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