Peter Mulupi Wafula is a dedicated and detail-oriented Data Analyst with over 7 years of experience in statistical analysis, data management and providing actionable insights. Holding a Bachelor of Science in Statistics, Peter is proficient in utilizing data collection tools such as ODK, KoboCollect, SurveyCTO and Google Forms, and has a strong background in designing user-friendly questionnaires and managing end-to-end data processes. His expertise spans data collection, entry, cleaning, validation and statistical analysis, with a focus on using SPSS and Python for exploratory data analysis and statistical modeling.
Peter’s strong communication skills allow him to present complex data findings clearly, making them accessible to diverse audiences and enabling informed decision-making. He works effectively within cross-functional teams, ensuring collaborative efforts align toward achieving common objectives. Peter has a deep understanding of regulatory standards, including the Kenya Data Protection Act 2019, ensuring that all data processes adhere to compliance requirements. He excels in report writing, utilizing data visualizations and crafting detailed, well-structured reports that highlight key insights and actionable recommendations.
Highly adaptable, Peter is quick to learn new digital tools and methodologies, continually enhancing data processes and driving improvements across data-driven initiatives. His meticulous attention to detail, commitment to high standards and continuous professional development make him a valuable asset in any data-driven environment.
