The older I get, the more difficult it is to describe who, what and where I am.
During the last 15 years I've worked in NYC, London and Dublin for corporates, startups and my own company, in various flavours of insurance, statistics, software & product development, and strategy consulting.
I currently work in NYC at an underwriting startup (aka an instech / insurtech) where I've built from scratch and now lead, an international team of data scientists, engineers and actuaries: setting the strategy, defining process & methodology, undertaking statistical analyses & predictive modelling. We supercharge our MGA business partners (commercial & specialty underwriters across 10+ major product lines, >$1B total GWP, Lloyd's & company markets) with performance analysis, risk selection, pricing, loss prevention, capacity management and new product development.
This blog is a continuation in spirit of The Sampler, a blog I wrote and co-wrote with colleagues as part of my Applied AI data science consultancy. Applied AI successfully ran for 5+ years with great clients and interesting projects, and we had a lot of fun. I'll include selected posts from the archives here.
Now after a short hiatus in blogging,
and co-creating meetups
and civic data orgs, I'd like to get back into it.
I've been a Scientific Python
for at least 10 years and love building probabilistic models
in PyMC3, and that's mostly what I'll write about here
in an attempt to
get better by writing.
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