MOSHOMANE NKOGATSE
Galloway
Summary
Moshomane is an experienced professional with a focus on Quantitative Risk Management, Artificial Intelligence and Leadership. Capable of transforming complex datasets into actionable insights through advanced analytics and predictive modelling. Adept at Problem solving, Advanced analytics and Commercial thinking to drive data-driven decision-making.
Overview
10
10
years of professional experience
Work History
Lead: Advanced Data Analytics
Nedbank CIB
11.2025 - Current
- Performing in-depth statistical analysis using advanced statistical techniques and machine learning algorithms to support a wide variety of business initiatives such as customer segmentation, recommender systems, behavioral models and anomaly detection
- Participate and take the lead in planning processes to define data requirements, priorities and ensure that data analytics deliverables are completed according to the project plan and budget to meet stakeholder commitments.
- Overseeing the Data Analytics Lifecycle and ensuring continuous improvement.
- Implementing opportunities to improve business processes, models, and systems through agile thinking.
- Driving the Nedbank Data Strategy, Data Architecture Roadmap
- Transactional Services
Senior Decision (Data) Scientist
Capitec Bank
06.2024 - 10.2025
- Designing, developing and deploying Machine Learning models that answer business questions and reduced costs: Digital Payments Fraud Detection using CatBoost ML model
- Developing and deploying a scorecard model for Client Risk Assessment using Logistic Regression
- Developing and deploying MLops solutions for Model Experimentation and Monitoring
- Developing optimized data pipelines with PySpark, SQL, Kafka and Airflow through CI/CD process
- Enterprise Risk Management
Senior Data Scientist
Anglo-American
09.2022 - 06.2024
- Developing and leading the application of data science modelling at an Integrated Operations Centre level to deliver insight-driven tactical and strategic value creation
- Use data to support and optimize decision-making, including predictive decision-making across the business value chain from the pit right through to the market
- Providing statistical analysis, forecasting, predictive modelling, simulation, and optimization to discover trends, opportunities, and threats such as production throughput, safety, health etc.
- Design quantitative advanced analytics models that answer business questions and/or discover opportunities for improvement/optimization at the business unit such as Load and Hauling Operations
- Developing data pipelines to Ingest large, complex data sets that meet functional and non-functional requirements using Microsoft Azure
- Kumba Iron Ore, Business Improvement
Senior Data Scientist
First National Bank
02.2021 - 08.2022
- Developing and validating credit scoring models for Credit Card and Home Loans with SAS, Python and Paragon Modeler
- Development of business support models (income estimation and affordability)
- Exposure to development and validation of IFRS 9 models (PD, EAD and LGD)
- Responding to ad-hoc analysis requests in a timely manner for credit risk purposes
- Extracting and Aggregating Data from Large Relational Databases from Credit Bureau (Compuscan and TransUnion) for credit scoring purposes
- Liaising with other product houses for supporting reporting and credit risk assessment processes
- Decision Analytics
Senior Commercial Analyst
African Bank
03.2019 - 01.2021
- Customer Value Analytics: delivering insights on consumer trends and behaviors in the market
- Customer Segmentation: building customer segments according to customer behaviors
- Financial Modelling: NPV models to financially quantify strategies and business cases
- Propensity Modelling: developing cross-selling and Up-selling models to sell new products to customers
- Marketing Campaign Optimization: Maximizing the customer's lifetime value and getting the right customer
- Budgeting and Forecasting: Developing statistical models to forecast and estimate sales
- Customer Analytics & Investment
Data Analyst
Thebe Health Group (ThebeMed)
11.2015 - 02.2019
- Pricing Analysis: Supporting the consulting Actuary in monitoring, analyzing, and pricing medical scheme options
- Propensity Modelling: Developing predictive models and strategies for customer churn
- Product Development: Contribute to the design and refinement of healthcare products to meet client needs
- Data Management & Analysis: Use SAS, SQL, Python and advanced Excel functions to extract and analyze data, identify trends, and understand causes of deviations
- Financial Reporting: Assist with financial reporting, including calculating IBNR using actuarial methods, such as short-term insurance runoff triangles and statistical modeling (Regression Modelling)
- Informatics
Education
12.2026
BSc Hons - Mathematics & Statistics
UNISA
12.2014
National Senior Certificate -
Lewalemolomo Secondary School
12.2009
Skills
- Logical analysis
- Decision Making
- Critical thinking
- Problem Solving
- Software Development: Python
- Machine Learning Model Development
- Cloud Computing: Azure
- Cloud Computing: AWS
- Data Analysis
- Data Visualization
- Data Manipulation
- Data Mining
- Statistical Analysis
- Data Warehousing
- Relational databases Programming
- Object-Oriented Programming (Python)
- SQL
- PySpark
- CI/CD
- PowerBI
- Kafka
- MLflow
Accomplishments
- 2014-01-01, Achieved 75% Overall Average, IDC Top Academic Achiever in Applied Mathematics
- 2009-01-01, Elected as an SRC Chairperson, Lewalemolomo Secondary School
Hobbies and Interests
- Mathematics
- Artificial Intelligence
Timeline
Lead: Advanced Data Analytics
Nedbank CIB
11.2025 - Current
Senior Decision (Data) Scientist
Capitec Bank
06.2024 - 10.2025
Senior Data Scientist
Anglo-American
09.2022 - 06.2024
Senior Data Scientist
First National Bank
02.2021 - 08.2022
Senior Commercial Analyst
African Bank
03.2019 - 01.2021
Data Analyst
Thebe Health Group (ThebeMed)
11.2015 - 02.2019
BSc Hons - Mathematics & Statistics
UNISA
National Senior Certificate -
Lewalemolomo Secondary School