Stephen Kariuki

Designed and implemented scalable data platforms and pipelines for banking clients, integrating core systems like T24, Finacle, and Flexcube using Apache Airflow and SSIS. Developed customer segmentation and credit scoring models using Python and R, and created interactive dashboards with PowerBI and Tableau.

Spearheaded end-to-end CRS regulatory reporting system implementation, designing data architectures to support compliance. Developed ETL pipelines for data extraction, transformation, and cleanup using Informatica and SQL, and configured and deployed CRS engine to meet OECD standards.

Conducted comprehensive data validation for SAP BW and BPC systems, ensuring accuracy across banking datasets. Developed quality assurance protocols for data integration, leveraging SQL and Advanced Excel, and supported dashboard development for financial analytics.

Applied statistical methods and machine learning (Linear Regression, KNN) to analyze healthcare data, improving operational efficiency. Designed data-driven solutions, integrating geospatial analytics with Python for healthcare insights.

Delivered data analytics solutions, including customer segmentation and predictive modeling for diverse clients. Executed ETL processes and provided actionable insights through customized reports.

Pursued a Data Science Diploma with coursework in statistics, geospatial analytics, and machine learning.

Completed a Higher Diploma in Data, covering data analytics, data engineering, AI engineering, ETL development, and data warehouse architecture.