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Cetran Codes

  Background  

Tommy Zugibe is an accomplished and experienced data scientist with a strong background in developing machine learning models, troubleshooting and maintaining production-level pipelines, as well as utilizing statistical models to analyze and interpret data. 

He is a highly skilled problem solver, with a proven ability to develop end-to-end solutions for a wide range of data-driven problems, using a variety of scripting language software and tools, including Python, Django, PostgreSQL, Cassandra, and AWS. Tommy has worked in various industries, including health and wellness, network security, and transportation, developing and implementing solutions that have positively impacted business operations and user experience. He is a talented collaborator and has acted as a team community, culture, and networking leader, planning team events, acting as the lead onboarding contact, and facilitating team morale.

  Education  

2004-2008

Bachelor's of Science

Applied Mathematics
Marist College

Graduated in 2008 from Marist College with a Bachelor's degree in Mathematics, receiving the prestigious Baccalaureate award for their exceptional academic performance. Alongside their major, they completed minors in Chemistry and Music Theory and developed a strong focus on Physics, showcasing their diverse interests and well-rounded educational background.

2008-2010

Master's of Science

Applied Mathematics
Rensselaer Polytechnic Institute

Completed graduate studies with a focus on radar detection and image processing. My Master's thesis, which explored innovative applications of these techniques, served as a pivotal stepping stone into my career in radar signal processing.

  Experience  

2022-2023

Jellyfish

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During my time at Jellyfish, I worked diligently to optimize digital marketing strategies for clients through the application of sophisticated data analysis and artificial intelligence methods. I was instrumental in driving data-driven decision-making processes, ensuring marketing campaigns were targeted and efficient. Collaborating closely with cross-functional teams, I translated complex analytical findings into actionable insights, which led to increased ROI and overall success for our clients. My experience at Jellyfish allowed me to hone my skills in the digital marketing realm, providing a strong foundation for future growth in my career.

2020-2021

Whoop

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At Whoop, I played a pivotal role in enhancing the company's wearable technology by applying my expertise in data analytics and machine learning. Collaborating with a cross-functional team, I developed innovative algorithms for biometric data analysis, enabling more accurate insights into users' health and fitness. My contributions significantly improved the overall user experience, driving user engagement and contributing to the company's rapid growth in the wearable technology market.

2019-2020

Plixer

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During my time at Plixer, I was responsible for designing and implementing advanced data analytics solutions, which significantly improved network performance and security. As a key member of the team, I worked closely with engineers, product managers, and other stakeholders to identify opportunities for optimization, develop machine learning models, and create custom algorithms tailored to the company's needs. My efforts in this role helped Plixer streamline its processes, enhance its product offerings, and maintain a competitive edge in the industry.

2016-2019

Agero, Inc.

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At Agero, I was instrumental in driving data-driven decision-making across various departments. My role primarily focused on analyzing large datasets, creating machine learning models, and developing predictive analytics solutions to enhance business operations and customer experience. By collaborating with cross-functional teams, I contributed to the company's overall growth and success by leveraging my expertise in data science and analytics.

2010-2016

MIT Lincoln Laboratory

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At MIT Lincoln Laboratory, I gained valuable experience working on cutting-edge research projects in a collaborative and innovative environment. My role involved developing advanced radar signal processing algorithms, improving detection capabilities, and conducting performance analysis. Through this hands-on experience, I honed my technical skills and furthered my knowledge in the field of radar technology.

Address

23 Fiske Avenue
Somerville, MA 02145

Phone

(845) 642 - 2423

Email

Connect

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  • LinkedIn
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