Projects / Enterprise
Enterprise & Professional Work
This section brings together work delivered in enterprise environments where constraints are real, systems must operate at scale, and outcomes carry measurable impact.
The focus here is not only on models, but on how those models fit into decision systems, how they interact with operational processes, and how they perform under real-world conditions.
Case studies
Telecom · Forecasting · ML Systems
Inventory Optimisation & Forecasting System
Designing a forecasting system for inventory planning under real-world constraints, balancing accuracy, scalability, and operational usability.
Impact
70 MSEK realised savings · 350 MSEK projected impact
Banking · Fraud Detection · Decision Systems
Credit Card Fraud Detection
Designing a fraud detection system for rare-event environments, combining supervised models, anomaly detection, and decision-layer controls.
Impact
Improved detection of rare fraud events while maintaining operational control over false positives
Banking · Growth Analytics · Customer Targeting
Propensity & Cross-Sell Modelling
Developing targeted modelling systems to identify high-probability customer opportunities within a regulated financial environment.
Impact
750K+ targeted opportunities identified
Technology · NLP · Large-Scale Systems
Semantic Understanding & Topic Modelling
Building semantic understanding systems using topic modelling, clustering, and similarity techniques across large-scale text data.
Impact
Applied across large-scale language and search datasets
A note on this work
Enterprise work is shaped by constraints that do not exist in controlled environments. Data is imperfect, systems are complex, and decisions have real consequences.
The value of this work lies not only in building models, but in designing systems that behave reliably under those conditions. That includes understanding trade-offs, aligning with operational realities, and ensuring that outputs translate into meaningful decisions.