Formed part of the data analytics team as a meta data consultant to provide a taxonomy framework to improve data organisation and to ensure regulatory compliance
Developed and implemented a comprehensive Data Taxonomy for the insurance sector by gathering business data, functional and non-functional requirements from stakeholders, resulting in the creation of a business requirements specification, functional requirements specification, and a requirements roadmap that increased data management efficiency by 30%
Created standardized naming conventions and governance policies to improve reporting accuracy
Delivered a unified framework that enhanced data quality, accessibility, and compliance with governance standards
Improved the organization’s ability to track data lineage and manage sensitive information efficiently
Fostered better collaboration, reduced time spent on reporting, and provided a consistent, structured foundation for decision-making
Enabled teams to adopt clear standards for data organization, saving time and streamlining workflows
Created customized PoPIA business process maps and process flows to guide multiple organizations in aligning their processes with regulatory requirements, leading to a 20% improvement in compliance adherence and serving as a central repository used in workshops to promote a collaborative approach to PoPIA compliance
Conducted a Data Governance audit for a new digital bank, engaging with key stakeholders to produce governance documentation for each business unit and implementing controls to mitigate identified risks, reducing potential data governance risks by 50%
Designed and executed major data integrity processes and identified audit scope risks, enhancing the bank's data governance framework and reducing compliance-related issues by 35%
Supported a large-scale data migration by ensuring seamless extraction, transformation, and loading (ETL) of data from legacy systems to the new platform
Extracted, cleaned, and transformed large datasets to align with the new system’s requirements, improving data quality and consistency
Collaborated with cross-functional teams to define data mapping rules, ensuring accuracy during migration
Developed scripts and automation tools to streamline data transformation processes, reducing manual effort and errors
Provided documentation and reports on data trends, quality issues, and resolution strategies, enhancing decision-making for stakeholders
Supported the project management team in the end-to-end data migration project
Scheduled stakeholder meetings, tracked revenue to ensure the project remained within budget, and adhered to the agile migration plan
Managed ad hoc tasks to support the project’s progress
Led a data migration project using an agile approach by determining project objectives, collecting and documenting requirements, and driving activities to mitigate dependency risks, ensuring 100% of tasks were completed on time
Coordinated resource allocation to ensure the optimal assignment of team members to roles, resulting in a 20% increase in overall team productivity
Optimized project execution strategies by effectively managing the workflow across the team, leading to a 15% improvement in project delivery timelines
Monitored and adhered to budget constraints by tracking expenses, creating invoices, and managing write-offs achieving divisional financial targets with a 10% cost saving
Liaised with the product owner to oversee day-to-day operations, ensuring smooth execution of tasks and alignment with project goals, maintaining a 95% on-time task completion rate
Implemented expense management processes and client invoicing systems, contributing to streamlined financial operations and a 100% accuracy rate in client billing
Documenting and capturing the data lineage required to achieve Level 4 Risk Compliance at a Tier 1 bank
Delivered a comprehensive data lineage visualized in Excel, which strengthened the bank’s risk model through enhanced metadata and risk data aggregation
Improved the institution's ability to generate accurate and compliant business analysis reports, providing a robust framework for mitigating risk and addressing regulatory requirements
Conducted interviews with various stakeholders to gather insights into their requirements and challenges
Created clear and concise functional specification reports
Performed system testing and validation by using data samples from relevant sources, inputting them into the system, and analyzing the results
Developed reports using Power BI to visualize outcomes and insights
Extended the internal audit continuous controls monitoring framework to include ESG controls and key performance metrics, enabling automated tracking, insights, and exception handling
Collaborated with stakeholders across South Africa, Ghana, Peru, and Australia to design an ESG monitoring framework
Merged insights from stakeholders to develop an ESG-focused audit automation solution
Successfully modernized and enhanced Gold Fields' ESG auditing and controls monitoring capabilities
Was assigned as a Research analyst to develop a business case for a digital product designed to identify news articles containing potential organizational risks
Demonstrated strong research and communication skills by connecting with relevant stakeholders to gather key insights
As part of the digital team, I gathered data from various source systems by requesting and managing restricted access to databases
Using Power BI, I consolidated the information into a single view of the customer and created a visual report to capture the value chain comprehensively
Junior Consultant, Data Factory Graduate
Deloitte Risk Advisory
South Africa
06.2015 - 06.2017
Formed part of a team responsible for the development of an Analytical Simulation Engine to optimize and validate financial calculations, specifically recalculating monthly payment amounts against a client-provided amortization schedule
Gathered Client Requirements & Business Rules
Met with the client to understand the specific business rules that govern the amortization process
Collected data on loan terms, payment schedules, interest rates, and other relevant variables
Imported the client-provided amortization table and validated the data to ensure there were no discrepancies or missing values
Reviewed historical loan data to understand patterns and ensure compatibility with the new simulation model
Developed algorithms to calculate monthly payments based on the gathered business rules (e.g., principal, interest rate, loan tenure)
Successfully contributed to the design and development of a Dimensional Data Model as part of a Data Warehouse (DWH) Architecture for a credit portfolio
Collaborated with stakeholders to gather business rules and created a comprehensive data dictionary to define key data elements
Data profiling and remediation efforts achieved over 95% data accuracy, ensuring the reliability of inputs for the dimensional model
Developed a dashboard capable of visualizing key profiling metrics (e.g., data validity, error rates) in real time
As part of a key case study, I was introduced to Big Data analytics and gained hands-on experience with the Cloudera Stack to derive actionable insights and provide a comprehensive 360-degree business view
In one of my key projects, I was tasked with developing a credit model using a combination of internal data from a major bank and external data from a credit union
The model was evaluated against several performance metrics, including accuracy, precision, recall, and F1 score, with the target to achieve a 95% prediction accuracy
The automated resource planning process led to a 50% reduction in administrative effort and allowed the Data Analytics team to focus more on high-value tasks rather than manual scheduling and allocation
Education
National Diploma - Human Resources Management
Tshwane University of Technology
01.2010
High school or equivalent -
Umtata High School
01.2005
Skills
SQL
Tableau
QlikView
Power BI
UI Path
SAS Enterprise
Certification
Introduction to Business Analytics, Udemy, 11/01/24
Foundation of Cyber Security, Coursera, 12/01/24, 04/30/25, In Progress
Projects
Diversity, Equity, and Inclusion (DE&I) Initiatives, Led the planning and execution of Unconscious Bias training sessions. Impact Committee, Organized a Career Day at underprivileged schools. Women's Forum, Contributed to creating a supportive environment for women. Business Analytics Community of Practice, Created and engaged internal newsletter to enhance team awareness.
Volunteer Experience
OLICO Maths Education, Volunteer, 06/01/18, 06/30/19, Compiled exam papers for Grade 10-12 students., Participated in Career Days.
Timeline
Consultant
Deloitte
06.2017 - 12.2023
Junior Consultant, Data Factory Graduate
Deloitte Risk Advisory
06.2015 - 06.2017
Introduction to Business Analytics, Udemy, 11/01/24
Foundation of Cyber Security, Coursera, 12/01/24, 04/30/25, In Progress