Felista Mueni is an accomplished Data Scientist with over three years of hands-on experience designing, developing, and deploying machine learning and analytics solutions across the banking, fintech, and enterprise technology sectors. Her expertise spans predictive modeling, feature engineering, anomaly detection, and business intelligence automation using tools such as Python, R, SQL, Power BI, and TensorFlow.
She has developed end-to-end analytical models that support credit risk assessment, customer segmentation, and churn prediction—projects that have contributed to improved risk accuracy and a 20% uplift in customer retention. Felista has also led the automation of enterprise BI dashboards, reducing reporting time by 25% and increasing organizational decision-making speed.
In her role as a Data Science Instructor, she guides and mentors learners in supervised and unsupervised machine learning, model deployment, and financial analytics, helping emerging practitioners build real-world, industry-ready solutions.
Her achievements include supporting high-accuracy data governance frameworks, enhancing enterprise data quality to over 98%, and driving analytics adoption across cross-functional teams. Felista blends strong technical capability with strategic problem-solving, making her a key contributor to data-driven innovation and operational excellence.More...