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Sean Easter
Senior Manager, Data Science at Capital One
Professional Background
Sean Easter is an accomplished engineer, analyst, and project manager who brings a wealth of experience to the table. With a strong foundation in both technical and analytical skills, Sean is passionate about leveraging the power of machine learning to address significant challenges in various industries. His professional journey has taken him to Capital One, where he currently holds the position of Senior Manager in Data Science. In this role, he leads teams in developing innovative, high-tech solutions that harness data analytics and machine learning methodologies. Sean's ability to communicate complex technical concepts to non-technical audiences has been a cornerstone of his success, fostering collaboration and understanding across diverse teams.
Education and Achievements
Sean's educational background is impressive and multifaceted. He holds a Master of Science (MS) in Computer Science from the prestigious Georgia Institute of Technology, where he honed his technical skills in programming languages and advanced technologies. This advanced education laid a strong foundation for his career in data science and engineering.
Additionally, Sean pursued a Master of Science in Investigative Journalism and Digital Media at Columbia University's Graduate School of Journalism. This unique blend of technical and journalistic training allows him to approach problem-solving from an analytical and narrative perspective, effectively bridging the gap between complex data and impactful storytelling.
His undergraduate studies at The University of Connecticut culminated in a Bachelor of the Arts with concentrations in English, Creative Writing, and Mathematics, achieving a commendable 3.7 GPA. This diverse educational background has endowed Sean with a rich set of skills that combine technical proficiency with creativity and critical thinking.
Achievements
Throughout his career, Sean has made significant contributions to various projects that harness machine learning, natural language processing, and data analysis. His expertise spans multiple programming languages including Python, JavaScript, Java, C#, R, and SQL, alongside a robust proficiency in machine learning frameworks and libraries such as scikit-learn, NumPy, and Pandas. His knowledge of Bayesian statistics and Markov Chain Monte Carlo (MCMC) techniques positions him as a leader in the application of advanced statistical methods.
Beyond technical skills, Sean excels in developing technologies that enhance user experience, demonstrated through his proficiency with AngularJS and D3.js for data visualizations. This capability not only benefits high-tech projects but also ensures that complex data insights are accessible to stakeholders of all backgrounds.
Sean's enthusiasm for problem-solving, combined with his rich educational experience and versatile skill set, makes him an invaluable asset in the field of data science and engineering.