I am a data scientist with 8 years of experience as a freelancer in diverse industries. My mission is enabling my clients and the teams I work with to implement data-driven innovation, making the connection between use cases, algorithms, and the appropriate tech stack. I am mainly focused on machine learning from prototype to deployment, but my work also regularly involves optimization and data mining.
consulting
building ideas
- utilize data-driven insights to make informed decisions and drive business growth
- overview the full lifecycle of data science projects, from business case discovery to deployment and evaluation in production
development
building software
- from prototype to deployed product
- powered by Python & open-source
- software engineering best practices
training
building competence
- from the fundamentals of data analysis to the latest breakthroughs in AI
- lectures, Q&A, code examples, exercises
- more information…
data-driven innovation
- full-cycle data science project support
- business case discovery and requirements structuring
- method, algorithm, and tech stack selection
- deployment and production evaluation
full stack
data science
- well-rounded skill set covering all stages of a data science project
- data analysis, solution development, and tech stack management
- from data acquisition to final implementation and maintenance
pragmatic
AI
- AI: both overhyped and underrated
- putting the remarkable progress in AI technologies to work
- discovering pragmatic cases for self-learning systems