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Insights
Short, practical write-ups from my data analytics and predictive modelling work. Each one links to a public case study with code.
Customer lifetime value: how to model it, and how to trust the result
A plain-English guide to customer lifetime value (CLV): why the simple average misleads, how a predictive CLV model works, and how to validate it without leakage.
Predictive maintenance: turning failure risk into a weekly work plan
How predictive maintenance turns failure-risk forecasts into a ranked, capacity-aware weekly work list, and why calibration and validation matter.
A practical checklist for analysing SaaS churn
A step-by-step checklist for SaaS churn analysis: define churn, read cohort retention, calibrate churn probabilities and find who a retention offer can actually change.