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 an experienced senior leader with more than 20 years of experience delivering technology, data, and digital initiatives that connect business strategy, customer experience, and operational execution. My work has focused on modernizing platforms, enabling data-driven decision making, and building scalable capabilities that improve performance, strengthen engagement, and support growth.
To deepen my ability to design and deliver data-driven systems, I earned a Master of Science in Applied Data Science (4.0 GPA). This expanded my hands-on capabilities in treating data as a strategic asset; surfacing insights, enabling intelligent automation, and supporting ML and AI solutions for operational impact.
Throughout my career, I’ve been known for translating complex ideas into practical, scalable solutions while working across organizational boundaries. I’ve led high-performing teams and strategic initiatives within large enterprise environments, as well as more agile product and business settings, partnering across technology, marketing, brand, product, and business functions to deliver measurable impact.
Whether shaping strategy, modernizing platforms, or enabling analytics and data capabilities, I bring a systems mindset, a customer-centric perspective, and a strong commitment to cross-functional collaboration.
Outside of work, I’m a proud husband and father who spends much of my free time at hockey rinks and equestrian events. I also enjoy playing guitar, skiing, tennis, snorkeling on beach vacations, and screenwriting.
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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