About Me
2024 - 2025
Master of Science,
Applied Data Science
Syracuse University
Hands-on degree in building data science solutions. Project work in Business Analytics, Marketing Analytics, Financial Analytics, Statistics, Quantitative Reasoning, Machine Learning, Natural Language Processing, Deep Learning, Neural Networks, Big Data Analytics, and SQL Database Design. Python, PySpark, R, SQL, Jupyter Notebook, Google Colab, Conda, Git.
Education
I’m a versatile technology leader with over 20 years of experience spanning IT, communications, and marketing, now pivoting into data science following the completion of my M.S. in Applied Data Science (4.0 GPA). I’m passionate about transforming data into meaningful outcomes and designing intelligent systems powered by machine learning and AI.
Throughout my career, I’ve been known for translating complex ideas into scalable solutions, driving digital transformation, and delivering measurable business impact. I’ve led high-performing teams and strategic initiatives within a Fortune 300 company and thrived in smaller, fast-moving environments. Whether hands-on with code or managing multimillion-dollar programs, I bring a systems mindset and a deep commitment to cross-functional collaboration.
I’m a proud husband and father who spends most of my free time at hockey rinks and equestrian events. I also enjoy playing guitar, skiing, tennis, snorkeling on beach vacations, and screenwriting.
1998
Bachelor of Science,
Biological Sciences
Cornell University
Laboratory Research in Endocrinology at the Cornell Veterinary Medical Center. Coursework in Chemistry, Organic Chemistry, Genetics, Microbiology, Physics, Cell Biology, Histology, Oceanography, Biology, Calculus and more.
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