About
A data scientist who’s spent more time in the business review than in the notebook.
Opsis Data is a one-person consultancy — which means the person who builds your model is the same person who explains it to your leadership team.
Most forecasting and automation work fails for reasons that have nothing to do with the model — it dies in the handoff between the data team and the people who have to act on it. That gap is where I work.
Over the past several years that’s meant mentoring a data scientist at Danone, co-building a training course with the forecasting team at Kraft Heinz, and standing up Franklin Sports’ first-ever Amazon predictive modeling capability.
Alongside the consulting work: I’ve built forecasting engines that beat the client’s existing baseline by 10% or more, and production systems that put LLMs to work — research agents, forecast-editing tools, and model evaluation pipelines.
Every engagement runs the same way: work out what decision the model needs to support, build the smallest thing that supports it well, and leave you able to run it without me.
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Opsis Data
Forecasting, causal inference, and automation for teams who need proof, not decks.
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Data Scientist · Analytics · Forecasting