Stefan is the founder and CEO of Applied AI. He advises Fortune 500 companies, investment firms, and startups across industries on data & AI strategy, building data science teams, and developing end-to-end machine learning solutions for a broad range of business problems.
Before his current venture, he was a partner and managing director at an international investment firm, where he built the predictive analytics and investment research practice. He was also a senior executive at a global fintech company with operations in 15 markets, advised Central Banks in emerging markets, and consulted for the World Bank.
He holds Master's degrees in Computer Science from Georgia Tech and in Economics from Harvard and Free University Berlin, and a CFA Charter. He has worked in six languages across Europe, Asia, and the Americas and taught data science at Datacamp and General Assembly.
- Hands-On Machine Learning for Algorithmic Trading$41.99Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras
- Mastering Unsupervised Learning with Python [Video]$25.00RRP $124.99Master advanced clustering, topic modeling, manifold learning, and autoencoders using Python
- Hands-On Unsupervised Learning with Python [Video]$25.00RRP $124.99Use Python to apply market basket analysis, PCA and dimensionality reduction, as well as cluster algorithms
- Machine Learning for Algorithmic Trading - Second Edition$34.99Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio.