Robert Winkelmann
About Robert Winkelmann
Robert Winkelmann is a Data Scientist with expertise in programming and data analysis, currently working at KX in the New York City Metropolitan Area since 2017. He has developed predictive models for MLB game outcomes and has a background in Computer Science from Vassar College.
Work at FD Technologies
Robert Winkelmann has been employed at First Derivatives since 2017, where he serves as a Data Scientist. His role involves utilizing advanced data analysis techniques to support client projects within the financial services sector. He operates primarily in the New York City Metropolitan Area, contributing to various initiatives that leverage his expertise in data science and programming.
Education and Expertise
Robert Winkelmann studied Computer Science at Vassar College, where he earned his Bachelor's degree from 2013 to 2017. He also completed his secondary education at Beacon High School from 2009 to 2013. His academic background has equipped him with a strong foundation in programming languages such as Java and Python, as well as kdb+ and SQL, which he employs in his current data science projects.
Background
Robert Winkelmann has a diverse background in data science, with a focus on predictive modeling and data optimization. He has developed a Common Lisp program to predict Major League Baseball game outcomes by analyzing large datasets related to teams and pitchers. Additionally, he created a MATLAB project aimed at determining the most effective curveball based on the strength of the human ulnar collateral ligament.
Technical Skills
Robert Winkelmann possesses expertise in optimizing data storage solutions, utilizing various database technologies. His technical skill set includes proficiency in programming languages such as Java and Python, along with experience in kdb+ and SQL. These skills enable him to effectively manage and analyze data for client projects, enhancing operational efficiency.