Data Science / ML / Stats Consulting with

I'm happy to discuss whatever data issue you are facing. These usually take around an hour, but sometimes they can run long.

Unfortunately, I generally can't look at embargoed data (Health, Financial, or other PII) in these sessions, please reach out ahead of time in you require an NDA or Data Sharing Agreement.

I help data professionals turn ideas into working data products — fast, reliable, and explainable.

For over a decade, I’ve built predictive systems across finance, healthcare, adtech, and IoT manufacturing. I’ve architected pipelines for real-time anomaly detection, designed retraining strategies to scale video-ad causal models to FAANG scale data, and fine-tuned LLMs for job scoring and matching, all with measurable impact on cost, performance, and interpretability.

I’ve mentored 30+ analysts, engineers, and scientists from six continents [1], helping them ship stronger models, write cleaner code, and communicate insights that drive decisions. My approach is pragmatic and data-first: we’ll focus on understanding, clarity, and solving problems in ways that make sense to both humans and machines.

Open-source software is a common thread and passion though out my career - I would be happy to mentor anyone actively contributing back to the community, or anyone with a great idea that needs a second pair of eyes on it.

If you want to level up your data systems thinking, from prototype to production, I can help you get there.

GitHub: nfultz

[1]: If you are from Antarctica, please reach out, I'd be happy to help or just to chat.