Felista Mueni

[email protected] • +254 708 413 813 • Nairobi, Kenya
LinkedIn: linkedin.com/in/felista-mueni-872290224 • GitHub: github.com/Felista-Mueni

PROFESSIONAL SUMMARY

Dynamic Data Product Specialist and Analyst with proven expertise in optimizing data pipelines through advanced ETL processes, CI/CD automation, and predictive analytics to drive actionable business insights. Spearheaded cross-functional projects that improved data processing efficiency by 35% and enhanced anomaly detection accuracy by 28%, leveraging SVM and XGBoost models. Adept at deploying telemetry and monitoring solutions using Azure Monitor and creating impactful visualizations with Power BI and Tableau, delivering measurable value in healthcare and finance sectors. Committed to translating complex data into strategic solutions that accelerate organizational growth and innovation.

WORK EXPERIENCE

Data Product Specialist & Analyst
02/2024 - Present
Digital Qatalyst
• Led a cross-functional team of 8, collaborating closely with IT, product, and finance departments to redesign legacy data pipelines and dashboards, resulting in a 40% boost in KPI visibility, a 30% reduction in turnaround time, and a 20% increase in Net Fee Income (NFI)
• Spearheaded the automation of complex ETL workflows using Apache Airflow by implementing modular DAGs and robust error-handling mechanisms, resolving critical data latency issues and enhancing operational efficiency by 35%, while fostering seamless collaboration between engineering and analytics teams
• Mentored 3 junior analysts through structured training and rigorous code reviews, achieving a 15% reduction in data errors and a 20% improvement in overall team productivity, contributing to higher quality deliverables and faster project turnaround
• Directed predictive modeling initiatives that uncovered $2M in untapped growth opportunities, influencing product roadmaps and enabling strategic platform enhancements that increased customer retention by 15%, with regular executive reporting to align business priorities
Data Scientist
08/2022 - 01/2023
Prospect 33
• Built ML-based anomaly detection models to predict performance regressions, improving detection speed by 30%
• Designed telemetry dashboards to monitor CPU usage, resource demands, and user feedback
• Delivered predictive analytics improving planning accuracy by 30% and reducing inefficiencies by 15%
Cash Management Implementation Officer
02/2023 - 03/2024
NCBA Bank
• Drove cross-functional initiatives to streamline onboarding and automation, increasing NFI by 20%
• Led process optimization projects that improved turnaround time by 30% and enhanced reliability

EDUCATION

MSc. Financial Engineering
01/2025
WorldQuant University
MBA
01/2021
St. Paul’s University
BSc. Mathematics & Statistics
01/2016
Moi University
Professional Certificate in Data Science
01/2023
Moringa School

SKILLS