Bio

Ph.D. in Statistics. Big data analytics, machine learning, deep learning, probabilistic programming. Online experimentation, A/B testing Python, Spark, Tensorflow, Edward, PyTorch, Pyro, Docker, K8s. NLP, Bayesian statistics, Gaussian process, anomaly detection, explainable AI(XAI). Effective communication and visualization of data. Transform ambiguous business needs to solid technical roadmaps and actionable tasks. Thirteen scientific papers (six as first author) in applied statistics, one US patent, six blog posts.