Summary
Overview
Work History
Education
Skills
References
Projects
Certification
Timeline
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MUSA NGUYUZA

Data & AI Lead

Summary

Innovative technology professional with several years of diverse experience. Skilled in enhancing systems and aligning technical solutions with business objectives. Proven success in leading projects from start to finish and contributing to organizational growth and success.

Overview

2
2
Certifications

Work History

Data & AI Lead

Standard Bank
4 2019 - Current
  • My role is leveraging machine learning to address challenges within the Standard Bank Group
  • I lead efforts to assist the insurance department in utilizing AI to enhance client experiences
  • Additionally, we operate an academy to educate the Standard Bank community on AI use cases, aiming to improve customer satisfaction and turnaround times.

Education

Bachelor of Science - Mathematical Sciences

University of Limpopo

Bachelor of Science Honours - Statistics

University of Limpopo

Skills

Python (NumPy, Pandas, Scikit-learn)

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References

  • Keneilwe Mokoena, Senior Data Scientist, Standard Bank, 076 026 8365
  • Mukundi Mphaphuli, Data Science Manager , Standard Bank, 0818312609

Projects

SALT (STRAIGHT-THROUGH PROCESSING BY ARTIFICIAL INTELLIGENCE), The SALT is an AI based risk assessment solution used in the Insurance Funeral Claims Business. The Solution enables faster payment of Funeral Claims. The Funeral Claims team set out to improve the overall customer experience when a funeral claim is submitted. We want to enable a frictionless, efficient and speedy resolution of a funeral claim. The Funeral Claims sector is prone to fraud. As a result, we have put any checks and balances in place to ensure that claims are legitimate prior to claims finalization. This, however, slows down the claim process. At the start of the project, we were concluding approximately 90% of claims within 48 hours and aimed to reduce this to 1 hour. The model is in production since 2022 with good volumes and now has been sold to Liberty as an API.


PROJECT AQUA, Quality Assurance (QA) in the Contact Centre is a risk mitigation function to assess whether representatives are adhering to regulatory requirements as it relates to rendering of financial services to clients. Non-compliance to regulations could potentially result in costly sanctions being imposed by the regulator and cause reputation harm to the business. The purpose of this initiative is to utilize artificial intelligence to increase the sample of calls assessed and specify whether a call is compliant or non-compliant based on pre-determined phrases which should be searched for in a call. The sample can be increased to up to 100% based o business requirements.

Certification

Amazon cloud developer associate

Timeline

Amazon cloud developer associate

10-2022

Microsoft Azure fundamental

10-2022

Data & AI Lead

Standard Bank
4 2019 - Current

Bachelor of Science - Mathematical Sciences

University of Limpopo

Bachelor of Science Honours - Statistics

University of Limpopo
MUSA NGUYUZAData & AI Lead