

Professional Summary
Senior IT and Data Automation Professional with over 10 years of experience in telecommunications systems and enterprise collections platforms. Experienced in Python automation, SQL data analysis, system integration, and operational analytics within large-scale customer management environments. Proven ability to improve operational efficiency through automation, system optimization, and data-driven insights. Currently completing a Postgraduate Diploma in Computer Science, focusing on data science and machine learning applications for debt collection optimization.
Responsible for managing and optimising enterprise collections systems by overseeing system configuration, integration, reporting, and operational support within a telecommunications collections environment.
Key Responsibilities
Responsible for configuring, maintaining, and supporting the Tallyman collections system used in telecommunications debt collection operations.
Key Responsibilities
To effectively manage the implementation of new products, processes and services affecting the customer acquisition process; and effectively manage IT and non-IT projects affecting the Customer Acquisition functional area.
Responsible for supporting systems and processes affecting the customer acquisition and onboarding environment.
Key Responsibilities
Responsible for configuration, testing, and operational support of the Tallyman collections system.
Key Responsibilities
Leadership and Team Management: Experience managing a multidisciplinary team consisting of business analysis, quality assurance, system integration, and customer insights specialists Skilled in coordinating technical and analytical functions to deliver system improvements, operational support, and strategic insights
Analytical and Problem-Solving Skills: Strong analytical skills developed through system analysis, collections strategy configuration, and operational problem-solving Experienced in investigating root causes of system issues, identifying trends, and implementing solutions that improve system performance and business outcomes
Database and Data Management: Experience working with relational databases and database management systems including SQL Plus, SQL Developer, Microsoft Access, and XAMPP Ability to query, manipulate, and analyse data to support reporting, troubleshooting, and system analysis
Research Area
A Machine Learning Model for Debt Collection Prioritization in South African Telecommunications.Research Areas
Languages: Python, SQL, Java
Databases: Oracle SQL, PL/SQL
Data Tools: Jupyter Notebook, SAS
Platforms: PowerCurve, Tallyman
Development Tools: Visual Studio, NetBeans
Python Automation – Collections System Monitoring
Machine Learning Research
Programming, Soccer and Reading