Nonceba Mtshaulana
Johannesburg
Summary
Dynamic data professional with solid experience in data engineering, risk analytics, and business intelligence within Absa’s Corporate & Investment Banking division. Demonstrated ability to optimize data models, strengthen governance structures, and improve data reliability through pipeline development using Scala, Spark, SQL, and Hive. Skilled in transforming complex datasets into actionable insights, performing exploratory and predictive analysis, and supporting model validation for regulatory and financial reporting. Proficient in Power BI and QlikView, with a track record of enhancing dashboards and reporting processes across teams such as Data Rails and RTFM BI. Recognised for analytical rigour, technical versatility, and cross-functional collaboration, consistently delivering accurate, business-aligned, data-driven solutions.
Overview
1
1
year of professional experience
Work History
Junior Analyst – Risk & Finance Department
Absa | Corporate & Investment Banking (CIB)
10.2025 - 12.2025
- Supported data-modelling initiatives in LUM, optimising entity-relationship frameworks for financial and risk data.
- Assisted with ETL pipelines using Scala, Spark, and SQL to prepare and validate datasets for credit-risk and compliance reporting.
- Developed and enhanced QlikView dashboards for risk exposure and management reporting.
- Worked with the Data Rails team to strengthen pipelines and the RTFM BI team to improve reporting processes.
- Contributed to Project Genus, focusing on data quality, governance, and metadata structure.
- Performed exploratory data analysis, model validation checks, and assisted with audit documentation.
Data Science Learnership
Absa | Corporate & Investment Banking (CIB)
09.2024 - 09.2025
- Applied BI and data science techniques to strengthen risk analysis and financial reporting.
- Built predictive models to support data-driven decision-making within the Risk and Finance Department.
- Cleaned, analysed, and transformed complex datasets to extract actionable insights.
- Improved data pipelines to ensure consistent data flow across platforms.
- Developed dashboards and reports using Power BI and QlikView.
- Worked on key initiatives including Project Genus and the Financial Index Model using machine learning methods.
- Gained experience with Scala, Spark, Hive, SQL, and advanced analytical tools.
Education
Certificate - Data Science
Explore AI ALX Africa Mastercard Foundation
Johannesburg, South Africa08-2024
Bachelors in Business Administration Honours -
STADIO Higher Education
Krugersdorp, South Africa11.2023
Bachelor of Commerce - Cost & Management Accounting
Lyceum Correspondence College
Johannesburg, South Africa11.2019
National Senior Certificate -
Tetelo Secondary School
Johannesburg, South Africa12.2013
Skills
- Data Analytics & Techniques: Statistical Analysis, Machine Learning, NLP
- Data Visualization: Power BI, QlikView, Lum
- Programming: Python, Scala
- Databases & SQL: SQL, Data Querying
- Big Data: Apache Spark, Hadoop, Hive
- Cloud: AWS Foundations
- BI tools: Power BI, QlikView
- Project Methods: Agile, Kanban, Jira
- Collaboration: Stakeholder engagement, Technical & non-technical communication
- Other tools: GitHub, Excel, Power point, Linux
Timeline
Junior Analyst – Risk & Finance Department
Absa | Corporate & Investment Banking (CIB)
10.2025 - 12.2025
Data Science Learnership
Absa | Corporate & Investment Banking (CIB)
09.2024 - 09.2025
Certificate - Data Science
Explore AI ALX Africa Mastercard Foundation
Bachelors in Business Administration Honours -
STADIO Higher Education
Bachelor of Commerce - Cost & Management Accounting
Lyceum Correspondence College
National Senior Certificate -
Tetelo Secondary School
References
- Makgopa, Setati, Chief Information Officer, makgopa.setati@absa.africa, 011 350 3310, 064 860 9756, Absa
- Roman, Kiss, Lead Platform Engineer, roman.kiss@absa.africa, 011 846 0821, Absa
- Janolia, Naicker, Senior Manager, Tribe Support, janolia.naicker@absa.africa, 060 983 5841, Absa
- Andrew, Frantzeskou, Lead Product Engineer, andrew.frantzeskou@absa.africa, 083 644 2264, Absa
Projects
New York Jobs CEO Council – Financial Analyst Simulation (Forage)
Performed financial analysis and industry review for a potential partnership in the tech sector.
Built Excel-based models, conducted risk assessment, and presented findings to inform strategic decisions.
British Airways – Data Science Simulation (Forage)
Led customer feedback analysis and buying-behaviour prediction.
Used web scraping, data cleaning, and machine learning modelling.
Delivered insights that strengthened customer-experience strategy.
BCG – Data Science Simulation (Forage)
Conducted customer churn analysis using Python (Pandas, NumPy).
Developed a random forest model with 85% accuracy.
Delivered insights and recommendations for resource allocation.
PwC Switzerland – Power BI Simulation (Forage)
Built interactive Power BI dashboards and analysed HR datasets.
Identified drivers of gender imbalance and contributed to actionable insights.
JPMorgan Chase & Co. – Quantitative Research Simulation (Forage)
Analyzed loan portfolios using statistical and algorithmic methods.
Applied dynamic programming to improve predictive modelling accuracy.