FELISTA MUENI

Inspired students to learn in-demand technical and soft skills, coaching them to independently find solutions and guiding their learning paths. Organized weekly meetings, evaluated assignments, held simulated job interviews, and facilitated group workshops.

Conducted detailed data analysis to assess program performance and impact, ensuring accurate representation of results to stakeholders. Designed and implemented interactive dashboards to track KPIs for client organizations, driving data-informed decision-making.

Increased channel uptake and utilization for customers through customer support, cross-selling, and attrition, resulting in increased non-funded income. Maintained high-level customer contact through phone calls and ensured high TAT on product implementation and issue resolution.

Developed and deployed machine learning models to predict outcomes and resource needs, driving operational efficiencies. Performed advanced statistical analyses on large datasets to inform program design and funding strategies.

Advised developers and contractors on project and registration requirements, initiating online processes and updating details. Conducted site visits to check compliance status, issued closure notices, and educated workers on safety.

Currently pursuing a Master of Financial Engineering, focusing on advanced quantitative methods and financial modeling. This program enhances skills in financial analysis, risk management, and algorithmic trading.

Completed a Master of Business Administration, gaining expertise in strategic management, finance, and marketing. This degree provided a comprehensive understanding of business operations and leadership principles.

Obtained a Bachelor of Science with a specialization in Mathematics and Statistics. The curriculum covered foundational mathematical concepts, statistical analysis, and data interpretation techniques.

Earned a Professional Certificate in Data Science, developing practical skills in data analysis, machine learning, and data visualization. The program focused on real-world applications of data science methodologies.