Antoine Nehme

I’m a data scientist at Bombardier. Before that, I spent a decade inside large organizations — aerospace, automotive, manufacturing — building the planning and operational systems that run daily work. Not advising on them. Building them.

I started this practice because I kept seeing the same pattern: operations and HR leaders making critical staffing decisions on gut feel and spreadsheets, with no predictive layer underneath. Headcount gaps discovered after the damage was done. Turnover that nobody saw coming. Scheduling built by hand every week. Hiring timelines that never matched actual demand.

The data to fix all of it already existed inside these companies. What was missing was someone who could build the systems to use it. That’s what I do — practical AI for workforce planning and people operations, built by someone who has done it inside real organizations.