* Real-time model development and deployment* Architecture behind combining event and batch based models* Cultivating and guiding use of graph based analytics* Advocating machine learning techniques to stake holders* Vendor concentration analysis using graph techniques* Master data cleanup and Entity resolution using graph techniques

Coordinate and manage the upgrading process of a legacy mainframe system onto a Hadoop platform with Apache Spark integration. Development and deployment of a generic parameterized process for aggregations that are used in credit score cards. Build the banks capacity for agile model deployment onto the Spark cluster. Ultimately improving FNB's responsiveness to customer centric requirements to our banking systems.

Detailed analysis to deliver an understanding of profit drivers from both customer behavior and banking requirement perspectives, in order to increase account profitability. These insights inform value proposition design. Management of contracts with external vendors that render value-added services forming part of the value proposition. Developing and proposing new features for the value proposition and overseeing queries of all value-added benefits implemented.

Managing all activities related to the FNB Rewards program for the lower income segment. These activities included coordinating business rules from participating product houses, performing financial impact modelling combining these inputs, as well as managing all stakeholder approvals of the overall framework based on the modelling outcomes. Implementation of the framework was done through business requirement specification (BRS) documentation and user acceptance testing (UAT), performed while implementing the framework. After implementation, monthly reporting was automated in order to track the accuracy of modelling and progress on program take-up. Market analyses were performed to inform follow-on strategies and marketing material and legal compliance were also overseen, while managing customer queries and feedback.

Analyse data, drawing insights on customer behaviour and translating these into concise unambiguous views. From these views communication campaigns were designed to increase customer value, build customer trust and reduce account attrition. Facilitation of the design and implementation of many systems through coordinating and organising peers and external vendors, including an automated and integrated campaign execution systems, which lead each customer on their individualized value journey.

Identify relationships in large data sets, as well as their meaning and implications, both strategically and operationally. These relationships were used to inform future business and operational strategies.

Extracting and understanding business requirements from client interaction and internal scope establishment. Developing and driving analytical models to aid in strategic decision making.

To improve business and production operation’s efficiency by applying engineering principles to design, develop and implement planning and control systems.