Dynamic and results-driven data professional with a strong foundation in statistical analysis, mathematics education, and research methodologies. Proven expertise in leveraging tools like R, Stata, Python, and Excel to drive data validation, enhance research processes, and improve learning outcomes. Experienced in fostering collaboration within teams and delivering impactful insights through analytical problem-solving.
Passionate about continuous learning and professional growth, currently advancing skills in Python for data analysis and honing expertise in SQL and R through structured coursework (e.g., Coursera certification in Data Analysis with R). Adept at transforming complex datasets into actionable insights, ensuring high-quality outputs, and contributing to the success of educational and organizational initiatives. Committed to driving innovation and excellence in data-driven decision-making and educational development.
Mr. Prince A. Kwabi, Lecturer, Department of Computational and Physical Sciences, KNUST, +233 249682109