Consulting
Machine Learning & Data Science Consulting
Transform your data into actionable insights
With my extensive experience as an AI Engineer at Apple, ML engineer at Meta, Applied Scientist at Amazon, and Data Scientist at JP Morgan Chase, I help organizations unlock the full potential of their data through machine learning and advanced analytics.
What I Offer
Machine Learning Strategy & Implementation
- End-to-end ML pipeline design and implementation
- Model selection, training, and optimization
- A/B testing and experimentation frameworks
- Production ML system architecture
Data Science Consulting
- Exploratory data analysis and insights generation
- Predictive modeling and forecasting
- Statistical analysis and hypothesis testing
- Data visualization and storytelling
Technical Leadership
- ML team building and mentorship
- Code reviews and best practices
- Technology stack selection
- Process optimization and workflow design
My Background
- Current: AI Engineer at Apple (Seattle)
- Previous: ML Engineer at Meta, Applied Scientist at Amazon, Data Scientist at JP Morgan Chase
- Academic: PhD in Physics (Cosmology) from University of Helsinki
- Expertise: Production ML systems, A/B testing, data pipelines, team leadership
Industries I’ve Worked With
- Finance: Risk modeling, fraud detection, algorithmic trading
- Technology: Recommender systems, Search, user behavior analysis, growth metrics
- E-commerce: Demand forecasting, personalization, conversion optimization, product classification
Let’s Work Together
I’m selective about the projects I take on to ensure I can deliver exceptional value. Whether you’re a startup looking to build your first ML capability or an enterprise seeking to optimize existing systems, I’d love to hear about your challenges.