Vincent Kumalo

• Delivering enterprise-level data management and operational analytics to optimize risk exposure, ensure regulatory compliance, and enable digital transformation across customer-facing financial systems.

• Managed and maintained large-scale client and transactional datasets, ensuring high levels of data accuracy, consistency, and integrity, in compliance with banking regulations.
• Drove recovery operations through data-driven account strategies, reducing delinquency.
• Maintained accurate client and transactional data for regulatory compliance.
• Championed customer retention and satisfaction through service excellence.
• Enhanced workflows through automation, digital support initiatives, and optimization.
• Facilitated multi-platform communication and issue resolution.
• Consistently invested in upskilling for data analytics, automation, and other related skills.
• Built scalable ETL pipelines using AWS and SQL to streamline data operations.
• Automated repetitive processes with Python (NumPy, Pandas), improving efficiency.
• Developed interactive dashboards with Power BI for visualising business metrics.
• Structured and maintained large datasets in MySQL, ensuring data accuracy, accessibility, and integrity.
• Produced insightful reports that informed key decision-making.
• Demonstrated resilience by managing internship deliverables while working full-time at Standard Bank.

Learning AWS Services: Gain hands-on experience with AWS tools like S3, AWS Glue, Amazon Redshift, Lambda, RDS, and other data processing services
Building Data Pipelines: Help design and maintain ETL (Extract, Transform, Load) pipelines that move and transform data between systems
Data Operations: Assist with data ingestion, cleaning, validation, and ensuring proper data flow
Cloud Best Practices: Learn security, cost optimization, and monitoring of AWS resources