Sadrach Pierre is a senior data scientist at a hedge fund based in New York City. His experience includes building out machine learning pipelines for solving a wide variety of business problems. In 2021, he published a research paper on using machine learning to identify small molecule drug targets to treat SARS-CoV-2. Pierre has built out end-to-end churn prediction systems and customer segmentation engines, and has also worked on building demand prediction and promotion optimization engines for clients in the retail space.
He has a wide range of experience applying data analysis, supervised machine learning and unsupervised machine learning to solve problems across disparate industries including finance, drug design, retail and social media. He has experience working for startups in the cryptocurrency regulation space where he built market manipulation detection engines powered by machine learning models.
Pierre has a doctorate in chemical physics from Cornell
