Keegan User

Designs testable analytics pipelines and builds automation and SQL-based data validation layers for ML-driven and data-driven applications, improving test coverage and reducing production risk.

Owned end-to-end QA for large-scale BI migrations and enhancements, led ETL and data validation across reporting pipelines, and implemented automation that reduced regression cycle time.

Delivered end-to-end software solutions including data processing pipelines and web applications, and built optimization algorithms for budgeting and asset procurement use cases.

Led requirements analysis and stakeholder engagement for BI and regulatory reporting initiatives, supporting QA and UAT to align business intent with technical delivery.

Developed and validated BI solutions and ETL pipelines for BASEL regulatory returns, built SQL reports and operational dashboards to improve test readiness and monitoring.

Designed and executed functional, regression, and UAT test cases across fintech platforms, introduced early automation and ETL monitoring dashboards to strengthen BI pipeline stability.

Certified Cloud Practitioner: CLF-02

Obtained ISTQB CTFL 4.0 Foundation Level certification in 2025.

Obtained ISTQB CTAL-TM 3.0 certification in 2025 for Test Management.

Grade: 4.7

Activities and societies: Awarded Top Academic Achiever for the class of 2024 Completed exploratory research paper synthesizing supervised learning concepts into a real-world analytics pipeline.

Postgraduate Diploma in Data Analytics (NQF8), achieved Top Student honors in 2024.

Covers theoretical and practical applications of supervised learning algorithms and statistical analysis.

Grade: 3

Activities and societies: Modeled, Developed and Deployed a Patient Booking and Management system using .NET Windows and ASP Web Forms for a doctor's practice.

Undergraduate Qualification with a focus on system design, modelling and implementation.

Completed coursework at NQF7 level at the University of Pretoria in 2013.