Kevin Hare's work experience is as follows:
- Data Scientist II at ArrePath since January 2023.
- Senior Machine Learning Engineer at Capital One from December 2021 to January 2023. Kevin led the implementation of extensible generalized linear model components for out-of-memory data and developed a framework for prototyping feature selection algorithms. Kevin also refactored CI/CD pipelines for internal modeling libraries.
- Graduate Research Assistant at Harvard Business School from July 2021 to December 2021.
- Data Scientist Intern at Analysis Group from June 2021 to August 2021. Kevin implemented machine learning algorithms using natural language processing techniques and developed a dynamic application for data ingestion and visualization.
- Consultant II at Bates White Economic Consulting from September 2019 to August 2020. Kevin modeled high-resolution antitrust damages and developed algorithms for data validation and imputation. Kevin also created algorithms to identify typos in hand-entered data.
- Consultant I at Bates White Economic Consulting from September 2018 to September 2019.
- Research Assistant at University of Virginia from August 2017 to May 2018.
- Summer Consultant at Bates White Economic Consulting from June 2017 to August 2017.
Kevin Hare has a well-rounded education history. Kevin started their academic journey at Cape Elizabeth High School, where they graduated with a High School diploma in 2014. Following that, Kevin attended the University of Virginia from 2014 to 2018, where they pursued a Bachelor's Degree in Mathematics and Economics.
Kevin's passion for data science led him to further their education at Harvard University. From 2020 to 2021, they pursued a Master of Science (MS) degree in Data Science, enhancing their skills and knowledge in this field.
In addition to their formal education, Kevin also holds certifications to further demonstrate their expertise. In December 2022, they obtained the AWS Certified Machine Learning - Specialty certification from Amazon Web Services (AWS). This certification indicates their proficiency in machine learning within the AWS environment.
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