Patrick Zeimet

As a data scientist and mathematician specializing in Natural Language Processing and statistical analysis, Patrick has worked with a diverse range of organizations, from start-ups to Fortune 500 companies. With a deep understanding of Machine Learning, NLP, ML OPs & Deployment, Simulation, ETL processes, Relational and Non-Relational Databases, as well Data Analytics, Visualization, and Architecture, Patrick is able to leverage cutting-edge techniques to derive insights and solve complex problems. His expertise helps Treegoat increase its operational efficiency, develop data-driven strategies and capitalize on cutting edge algorithms to develop their products. With a passion for using data to drive meaningful change, Patrick is dedicated to advancing the field of data science and helping organizations harness the power of data to achieve their goals. He has contributed to economics research studying the impact of crime rates on communities and psychology research by simulating workplace conditions to better understand success metrics.