Stylianos has a breadth of experience in quantitative domains ranging from traditional statistics (regression, significance testing, forecasting) to machine learning (neural networks, decision trees, bayesian modeling, ensemble methods etc.). His past experience includes partnering with various sports clubs to predict injuries, and he also has published various academic publications in journals and conferences. He holds a BSc in Mathematics and Statistics and a PhD in Computer Science. He is based in the United Kingdom.
Incubated in Harvard Innovation Lab, Experfy specializes in pipelining and deploying the world's best AI and engineering talent at breakneck speed, with exceptional focus on quality and compliance. Enterprises and governments also leverage our award-winning SaaS platform to build their own customized future of work solutions such as talent clouds.