Shan Islam

Lead Data Scientist · London

Better commercial decisions, built from evidence.

I specialise in pricing, forecasting and experimentation—building practical models and decision systems for the moments where clarity matters.

Bangladeshi heritage London perspective Decision science

Selected work

Work designed to change the next decision.

Pricing & forecasting · Case 01
Demand controlled by a pricing intervention Observed demand rises toward an intervention point. Without intervention, forecast demand exceeds usable capacity. After a twelve percent pricing intervention, projected demand finishes at capacity. Usable capacity Without intervention After pricing intervention

Marketplace pricing & demand forecasting

Using demand and capacity forecasts to decide when—and how much—to intervene on price.

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Experimentation · Case 02
Experiment effect clears the rollout threshold The entire confidence interval is positioned beyond the minimum worthwhile effect, with its point estimate in the commercial upside range. Do not roll out Minimum worthwhile effect Commercial upside
Guardrails within tolerance Roll out with monitoring

Experimentation & causal decision making

Designing experiments around commercial decisions, not statistical significance alone.

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Commercial analytics · Case 03
Trading movement diagnostic Illustrative data
Detected Below expected range
Look first Supply / capacity
  • DemandStableWithin expected range
  • ConversionWatchSoft in one segment
  • PriceStableMix-adjusted movement limited
  • Supply / capacityPriorityPeak-period constraint
  • Data qualityClearCore checks passing
An illustrative trading diagnostic highlighting supply and capacity as the first investigation path.

Commercial data rescue

Turning fragmented signals into a shared diagnostic path.

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From the notebook

Thinking in public.

Perfection is still the enemy of good