About Me
CS/CTE Educator | Robotics & IoT Instructor | Software Developer
Professional Summary
Passionate Computer Science educator with expertise in Atmospheric Science and data-driven instruction. Specialized in designing inclusive, standards-aligned CS curriculum that bridges theory with real-world applications, including physical computing, robotics, and hardware-software integration. Proven track record of improving student outcomes through project-based learning, AI integration, and collaborative methodologies to drive student engagement and achievement in K-12 environments.
Technical Skills
Programming & Frameworks
Data Science & ML
Web Technologies
Development Tools
Core Competencies
Focus Areas
Education
Master of Science, Atmospheric Science
University of Wyoming
Aug 2022 - Aug 2024
Advanced research in computational atmospheric modeling and data analysis
Bachelor of Science, Meteorology & Climate Science
Kwame Nkrumah University of Science and Technology
Sep 2017 - Oct 2021
Foundation in atmospheric science, climate modeling, and scientific computing
Certifications
Praxis Exam: Computer Science (5652)
Score: 185
Validated expertise in CS education standards
Praxis Exam: General Science (5435)
Score: 200
Demonstrated proficiency in general science education
Professional Experience
Computer Science Teacher
DSST Public Schools
- •Validated Inspector in CS education standards, achieved by a Praxis Computer Science (5652) exam score
- •Deliver AP Computer Science Principles curriculum emphasizing computational thinking, cybersecurity, AI, and digital citizenship
- •Achieved 91% student proficiency rate (Majority 7+) to demonstrate real-world hardware-software integration and emerging AI principles
- •Integrate Computer Science concepts with the Career Technical Educator (CTE) framework to prepare students for high-demand IT careers
- •Design hands-on coding challenges and real-world app development projects that connect CS concepts to modern tech stacks
- •Foster collaborative learning environments supporting diverse learners through differentiated, culturally responsive instruction
Graduate Research Assistant
University of Wyoming, Atmospheric Science
- •Conducted DOE-sponsored research on Cold Air Outbreak convective cell tracking and lifecycle analysis
- •Engineered Python-based data pipelines for atmospheric model visualization, and large-scale data analysis
- •Published research findings on decadal-scale convective cell properties in computational methods and scientific peer-reviewing
Teaching & Research Assistant
KNUST, Physics Department
- •Investigated climate model configurations using computational modeling and machine learning expertise in Python programming and data analysis
Software Development Instructor
Sears IT Center
- •Taught full-stack web development in HTML, CSS, JavaScript, Python, Django to diverse student populations
- •Developed curriculum emphasizing software engineering best practices and collaborative methodologies
Core Competencies
Curriculum Development
Project-Based Learning
STEM Integration
Educational Technology
Team Leadership
AI in Education
K-12 CS Education
Inclusive Pedagogy
Data Science Applications