Prosper Ablordeppey

• Designing and implementing data pipelines for automated machine components. • Utilizing machine learning techniques to identify patterns and predict potential issues in machine operation. • Applying data cleaning and restructuring techniques to ensure high quality of collected data. • Conducting root-cause analysis to identify factors contributing to machine breakdowns. • Implementing machine learning models to optimize machine performance and prevent disruptions. • Collaborating with cross-functional teams to identify areas for improvement and drive data-driven decision-making. • Communicating findings and insights to stakeholders through data visualizations and reports.

• Demonstrated strong data analytics skills and proficiency in statistical software packages such as SPSS and Python. • Demonstrated leadership and research skills through guidance and support of final-year students in their research projects. • Offered assistance with research methodologies and tools such as Mendeley, Excel, SPSS, Python, and R programming languages to final-year students working on their theses. • Assisted with teaching Introductory Probability, Stochastic Processes, Topology, and Measure Theory courses. • Graded assignments, quizzes and midterm exams. • Organized and facilitated tutorials to help students better understand course materials.

• Analyzing and interpreting data to identify trends, improvement areas, and potential business growth opportunities. • Developing and implementing strategies based on data-driven insights and recommendations. • Conducting market research to evaluate the business’s financial performance, market position, and competitive landscape. • Identifying potential clients and communicating the value of the business’s service through cold calls and emails. • Proficiency in web-based tools and databases for market research, data analysis and business process evaluation.