I take on project-based work across machine learning, data analysis, decision support, and research. If you have a problem that fits one of these areas, let's talk scope and timeline.
Predictive models, deep learning pipelines, and data exploration — from problem framing through training and integration into existing systems.
Teams with data that needs structure or prediction
Turning raw data into actionable insight through SQL queries, BI dashboards, and clear reporting that supports decision-making.
Organizations looking to understand their data
Structured analysis for decisions under uncertainty — combining quantitative modeling, scenario framing, and cross-domain thinking across finance, operations, and product.
Teams navigating complex tradeoffs
Technical research, literature reviews, and experimental design — bridging academic rigor with practical application.
Research groups and interdisciplinary teams
Pick the shape that fits your needs — scope and cadence are agreed up front.
Project-based
Defined scope, deliverable, and timeline. We agree on what done looks like before starting.
Ongoing collaboration
Part-time, recurring involvement — useful when needs evolve week to week and you want consistent support.
Research partnership
Joint exploration of a technical question with shared authorship or contribution, suited for academic or R&D contexts.
Next step
Describe what you need on the contact page — I will reply with a proposal and timeline.