I am data scientist with product management background and passion for machine learning and financial data. My background is in behavioral science, statistics and human-computer interaction. I worked in venture capital and completed the Data Incubator bootcamp. I work in R and Python, see GitHub. I am particularly interested in:
- learning at low false positive rate
- fraud detection / anomaly detection
- data visualization using RShiny, plot.ly, ggplot2
- experimental design and evaluation with robust methods (e.g. mixed effects modelling with lme4)
- algorithmic trading of indices, crypto currencies and arbitrage using machine learning
investments / board memberships
- filecoin.io – blockchain-based storage network, investor pre-sale
- easyscoring.com – AI scoring algorithms for b2b loan procurance e-commerce
- Mila.com – led investment at Creathor Venture, acquired by Swisscom.ch for $20 million in 1 year
- pc-optimist.com – founder, computer service crowdsourcing start-up for small businesses
stuff I worked on
- b2b credit scoring (e-commerce)
- crypto currency prediction & arbitrage
- stock index prediction & backtesting
- key-account / lead prospecting
- subscription payment APIs
- SalesForce.com implementation
- focus.ly: prototype of distraction-blocking software Based on research on multi-tasking by Stanford professor Clifford Nass
publications, conferences & workshops
- primer on crypto-currency arbitrage
- how to invest in AI: investment thesis machine intelligence presentation at Swisscom
- panel discussion & moderation on AI with venture capitalists and industry experts at the annual SECA Swiss Private Equity conference 2016.
- workshop on venture capital Swiss ICT investor club (SICTIC)
- science of persuasion – workshop for founders
- behavioral science for start-ups – using psychology for smarter product design and growth
