• Developed a Data mining process methodology leveraging the CRISP-DM Methodology.

• Pre-sales and Solution Concept: Computational Intelligence, Machine Learning, and Data Mining initiatives. Mentoring and management of students/interns.

• Developed a traffic emulation ecosystem, and an adaptive traffic control system which leverages Deep Reinforcement Learning for signal timing control, employing experience replay and target network mechanisms.

• Heading up the Data Design Authority in CE and Aggregation
• Oversight over Design and Architecture in MDM implementation.
• Oversight over BI Design and Architecture.

Spearheaded (Architectural Vision, Solution Concept and Information Architecture, and stakeholder management) a single consolidated Data Integration and Distribution Platform, that allows for data propagation from source to target systems, advocating reuse, agility, data standard conformance and adherence to high standards of data quality. The Data Distribution Hub (DDH) replaces legacy point-to-point ETL feeds to multiple downstream systems. This architectural approach supports the implementation of a sound MDM strategy.

• Devised an address standard in line with SANS 1883-1.

• Developed an ontological model for the Data Distribution Hub, called the Data Distribution Hub Markup Language, based on the industry-wide TM Forum's Information Framework (SID), Oracle Communications Model and BSS data models.

• Involved in other End-to-End Architectural and Design activities.

Developed a SOA Governance framework.

• Consulted on the implementation of a Master Data Management system.

• Consulted on various Best Practises pertaining to Enterprise Architecture, Data Architecture and SOA.