Open to select projects
Advising
on data science & AI-native workflows
Alongside my full-time work as a data scientist, I take on a small number of advisory projects where I can make a meaningful difference—usually in measurement, forecasting, predictive modeling, or bringing AI into data science workflows. If that sounds like your problem, I'd love to hear about it.
Data Science for Business Impact
Applying rigorous data science to solve real business problems, using modern AI tooling to move faster from question to decision.
- Scalable analytics & experimentation design
- Advanced ML & causal inference to prove true business impact
- Custom analytical systems built around your decisions
AI-Native Workflows for Data Science Teams
Helping existing data science teams and leaders navigate the shift to AI-native workflows, without losing analytical rigor along the way.
- Auditing & redesigning DS workflows for AI tooling
- Upskilling teams on AI-native workflows
- Playbooks for responsible, governed AI adoption
Full Spectrum Data Science Expertise
Analytics & Experimentation
Strategic metric design, robust forecasting, and advanced A/B testing frameworks. Architect a Source of Truth (SOT) data foundation for both human executives and AI-assisted workflows.
ML & Causal Inference
Going beyond superficial pattern matching. Advanced predictive modeling alongside rigorous counterfactual frameworks (BSTS, Synthetic Control, Double ML) to prove true business impact.
AI-Native Systems
Designing and deploying focused analytical systems that orchestrate complex data workflows. Building intelligence layers that unify metrics, causal inference, and automated planning into cohesive AI-assisted workflows.