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Brian Cocolicchio
Teacher, Statistician/Data Scientist, Engineer.
Professional Background
Brian Cocolicchio is a dedicated educator with a robust background in statistics and process improvement, particularly within the pharmaceutical, medical device, and healthcare industries. With over seven years of experience, Brian has effectively leveraged his expertise in statistical methods such as hypothesis testing, ANOVA, regression analysis, and survival analysis to enhance quality engineering practices. His journey includes significant roles in research and development as an engineer in both the aerospace and fuel cell sectors.
Brian's professional experience encompasses leading multi-functional teams focused on process enhancement and integrated product development. He has adopted a myriad of technical skills dating from statistical design of experiments to advanced statistical process control techniques, ensuring that the teams he leads engage in continuous improvement of their processes. His expertise extends to several disciplines, allowing him to facilitate successful outcomes in diverse environments where data-driven decision-making is paramount.
Education and Achievements
Brian's academic journey reflects a commitment to acquiring knowledge and skills essential for his multifaceted career. He completed his Master of Science in Applied Statistics with a commendable 3.5 GPA from the Rochester Institute of Technology, further honing his skills in statistical methodologies. Additionally, he holds a Bachelor of Science degree in Chemical Engineering from Florida State University, and a Master of Science in Industrial Chemistry from the University of Central Florida. Brian has also completed a Data Science Bootcamp at Metis, where he developed critical insights into modern data analysis techniques.
His educational achievements illustrate not just academic excellence, but a strategic selection of disciplines that unify his passions for education, statistics, and enhancing business processes.
Expertise and Competencies
Brian’s competencies encompass a wide spectrum of statistical techniques and methodologies applied in real-world scenarios. He is skilled in leading efforts in statistical design of experiments, where he employs advanced machine learning algorithms for predictive analytics. His knowledge also covers process mapping, Failure Modes and Effects Analysis (FMEA), and utilizing Lean methods, which are essential for identifying opportunities for improvement in complex operational challenges. Brian has a solid grasp of various problem-solving methods, including Design for Six Sigma and the Kepner-Tregoe framework.
On the technical front, Brian is proficient in several programming and analytical tools. He has comprehensive knowledge of tools and languages such as R, Python, SQL, SAS, Git, MINITAB, and JMP, which equip him to handle data-driven problems efficiently. Additionally, his adeptness with Microsoft Office tools ensures effective communication and presentation of complex data in a clear, actionable format.
Current Projects and Volunteer Work
Currently, Brian is an instructor at Westchester Community College, where he has the opportunity to share his knowledge and passion for statistics with students in the community college sector. His role allows him to inspire the next generation of professionals seeking to leverage statistical methods in their careers.
In addition to his teaching responsibilities, Brian is also involved in community service through his volunteer work with Jawonio, Inc. He is assisting the foundation's office in establishing donor metrics and utilizing analytics to further their goals. This commitment to applying his skills towards philanthropy showcases Brian’s dedication not only to education but also to social impact.
Past Achievements and Noteworthy Projects
Throughout his career, Brian has engaged in various side projects that align with his professional interests. Notably, he has conducted a survival analysis of NFL running backs, assessing the long-term performance and durability of players—a real-world application of statistical analysis in the field of sports. Furthermore, his project exploring the similarity of PCSK9 patents highlights his capability to apply statistical rigor to complex biomedical data. He has also ventured into predictive analytics concerning NFL quarterbacks, showcasing his ability to blend sports analytics with statistical methodologies.
Brian's contributions to these projects not only enhance his own knowledge and skills but also serve to push the boundaries of how statistical analysis can be applied across different fields.
Conclusion
With a strong educational foundation, diverse professional experience, and a passion for teaching and analytics, Brian Cocolicchio stands out as a leader in the field of statistics and process improvement. His commitment to applying statistical analysis in various domains, including education, healthcare, and sports, marks him as a versatile professional capable of driving advancement and innovation. Brian's ongoing projects and volunteer work underscore his dedication to not only furthering his own expertise but also improving the community and educational sectors through data-driven strategies and insights.
