Data Scientist specializing in data analysis, data visualization, and machine learning. Proficient with a variety of data modeling and visualization software, including Power BI and Excel, to manipulate, clean, and analyze datasets. Managed projects and collaborated with teams to accelerate the goals of drawing insights from data, seeking opportunities to apply analytical and programming skills to create visualizations that simplify complex data and drive decision-making.
Education
I hold a Bachelor's in Forest Resources Technology from the Kwame Nkrumah University of Science and Technology, Kumasi. My educational journey has equipped me with a strong foundation in statistical analysis, data science principles, experimental design, and GIS. Additionally, I enrolled in specialized coursework in business analytics organized by Azubi Africa to deepen my understanding of advanced data analytics techniques.
I have pursued specialized training programs to enhance my data science skills throughout my professional journey. I have completed intensive workshops and boot camps in business intelligence, machine learning, data visualization, deep learning, and cloud computing. These trainings have expanded my technical experience and allowed me to stay at the forefront of emerging trends and technologies in the data science industry. However, this training also equipped me with good interpersonal skills.
Python (Pandas, NumPy, Matplotlib, Scikit-learn, Seaborn)
SQL (MySQL, PostgreSQL)
GIS and Remote Sensing
Machine Learning: Regression, Classification
Big Data Technologies: Apache Spark, Airflow, Kafka
Data Analytics: Power BI, Amazon QuickSight, Excel, SPSS
Cloud: AWS, Docker, Git/GitHub
Additional: ArcGIS, Virtual Reality (VR), Photography, Graphic Design, Microsoft Office Suite, Google Workspace
I have earned industry-recognized certifications and badges that validate my expertise in data science and related fields. These courses demonstrate my proficiency in Python, machine learning, data visualization, business analytics, and big data analytics.
Artificial Intelligence Fundamentals (IBM SkillsBuild)
Fundamentals of Sustainability and Technology (IBM SkillsBuild)
AI on Watson (IBM SkillsBuild)
Data Fundamentals (IBM SkillsBuild)
Getting Started with Artificial Intelligence (IBM SkillsBuild)
Big Data Foundations, Level 1 (IBM)
Hadoop Foundations, Level 1 (IBM)
Spark Fundamentals, Level 1 (IBM)
Business Analytics and Data Visualization (iiAfrica)
Introduction to Computational Thinking and Data Science (MIT)
Introduction to Machine Learning (Microsoft Learn)
Google Data Analytics Professional Certificate (Google)
Google Business Intelligence Professional Certificate (Google)
E-Portfolio and Soft Skills Development (ACCESS-Ghana)
Work Experience
BRAJOS IT Consulting October 2025 – January 2026
Transmission Engineer
Aligned and optimized radio equipment (antennas, radios, and backhaul devices) to improve throughput and signal strength.
Supported IP network configuration, including basic routing, addressing, and connectivity testing.
Monitored network performance using diagnostic tools, identifying and resolving issues related to latency, packet loss, and link instability.
Managed and supported network transmission infrastructure, ensuring reliable connectivity across wireless links.
AmaliTech GmbH April 2025 – May 2025
Data Engineer (Graduate Trainee)
Built end-to-end ETL pipelines using Docker, Python, PostgreSQL, and Apache Airflow, automating the ingestion, transformation, and loading of structured data.
Designed a Kafka-based real-time data pipeline to simulate live data ingestion and streamlined message processing using Python consumers and producers.
Constructed relational database schemas and optimized complex SQL queries for efficient data retrieval and reporting.
Used IAM roles to securely manage access to AWS services and understood the importance of permission boundaries in cloud infrastructure.
KNUST E-Learning Centre Nov 2023 – Sep 2024
IT Support Technician
Resolved access issues for 100+ students and staff by optimizing the troubleshooting process.
Analyzed educational virtual environments, providing data-driven insights that informed an action plan to acquire 50 additional VR headsets, enhancing teaching and learning experiences.
Collaborated with the instructional design unit to include training for 50 faculty on technology integration in teaching and learning, leading to a 20% increase in teacher confidence with technology.