MLS Analytics
Machine Learning and Statistical Consulting

Advanced analytics for real business decisions.

MLS Analytics helps organisations turn complex data into practical insight through machine learning, statistical modelling, anomaly detection, forecasting, and decision support.

Risk and anomaly detection Predictive modelling Decision optimisation
Focus
ML + Statistics
Approach
Rigorous + Practical
Clients
Business & Industry
Projects
Custom analytics solutions

Deep technical expertise with industry relevance.

Founded by a consultant with a joint PhD in Mathematical Statistics from Stellenbosch University and Bioscience Engineering: Mathematical Modelling from Ghent University.

That combination brings together rigorous statistical thinking, mathematical modelling, and modern machine learning, with a focus on solving applied business problems clearly and professionally.

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Consulting services

Built for organisations that need rigorous quantitative thinking, not just dashboards.

Anomaly detection and risk analytics

Identify unusual patterns, detect outliers, rank cases for review, and support fraud or operational risk workflows.

Predictive modelling

Develop classification, regression, and forecasting models aligned with operational goals and business constraints.

Statistical analysis and experimentation

Design sound analyses, compare alternatives, quantify uncertainty, and improve decision quality with robust inference.

Custom machine learning solutions

Build bespoke models and analytic pipelines for domain-specific problems where off-the-shelf solutions fall short.

Decision support and optimisation

Translate complex model outputs into prioritisation, monitoring, and decision systems stakeholders can actually use.

Technical advisory

Review existing modelling pipelines, evaluate methodology, and strengthen analytic strategy for teams and organisations.

Rigor, clarity, and business value.

MLS Analytics is designed for clients who want the depth of an advanced quantitative specialist with the clarity and responsiveness of an independent consultant.

The focus is on building solutions that are technically sound, well explained, and useful in practice, especially when data are messy, noisy, high-dimensional, or operationally complex.

  • Strong mathematical and statistical foundation
  • Modern machine learning capability
  • Clear communication for business stakeholders
  • Custom work tailored to the problem, not generic templates

Where MLS Analytics fits best

Insurance, finance, healthcare analytics, industrial modelling, operational analytics, forecasting, and technically demanding decision problems.

Toy projects and showcase areas

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Featured Risk analytics

Fraud and anomaly detection prototype

A demonstration project showing how machine learning and statistical scoring can be combined to prioritise unusual cases for review.

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Toy project Forecasting

Demand or claims forecasting demo

Show how statistical forecasting and machine learning can help plan inventory, staffing, budgeting, or risk reserves.

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Toy project Optimisation

Decision optimisation example

Illustrate how a scoring model or optimisation routine can improve prioritisation, triage, or resource allocation.

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Independent, technically deep, and tailored to the problem.

Whether the need is a one-off modelling project, an advisory review, or a longer analytics engagement, MLS Analytics is built to deliver focused expertise without unnecessary complexity.

Let’s discuss your problem.

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Location

Cape Town, South Africa

LinkedIn

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