Open to opportunities

Daniel Doyon

@danieldoyon

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Aspiring data scientist with a strong foundation in computer science.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can apply my technical skills and contribute to meaningful projects while continuing to learn and grow.

I am a dedicated and passionate aspiring data scientist currently pursuing a Master's in Data Science at Hofstra University, where I maintain a perfect GPA of 4.0. My academic background in Computer Science and Mathematics has equipped me with a solid foundation in various programming languages and statistical methods. I have consistently been recognized for my academic excellence, making the Dean's List multiple times.

My professional experience includes conducting undergraduate research focused on automating medical wound closure through advanced image segmentation techniques. I have developed a wound image segmentation model using U-Net architecture, achieving a 93.7% Dice score. Additionally, I mentor students in mathematics, helping them excel in calculus and pre-calculus, and I actively participate in community service through my engineering fraternity.

Throughout my projects, I have demonstrated my ability to lead and innovate, such as in my senior design project where I developed a GPU-accelerated pipeline for real-time 3D reconstruction. I am eager to apply my skills in a challenging role that allows me to contribute to impactful projects while continuing to grow professionally.

Experience

Work history, roles, and key accomplishments

Current

Tutoring

Current

CAMCLE at Hofstra University

Nov 2024 - Present (8 months)

Mentored students in mathematics, specializing in calculus and pre-calculus, at CAMCLE. Prepared students for higher-level courses, ensuring their success in challenging math subjects.

Mentoring

Current

Undergraduate Research

Current

Hofstra University

May 2024 - Present (1 year 2 months)

Developed a wound image segmentation model using U-Net architecture, achieving a 93.7% Dice score for automating medical wound closure. Focused on hyperparameter tuning, data preprocessing, and model ensembling to enhance segmentation precision.

U Net Hyperparameter Tuning data preprocessing Model Ensembling

Current

Professional Engineering Fraternity

Current

Theta Tau

Dec 2022 - Present (2 years 7 months)

Managed organizational and administrative tasks, ensuring timely communication of events, schedules, and weekly meeting notes to over 20 members as a chapter Scribe. Actively participated in biannual community service events like Shake-a-Rake, Pride and Plant, and Relay for Life.

organizational Administrative Support Communication Event Coordination Community Service

Education

Degrees, certifications, and relevant coursework

Hofstra University

M.S., Data Science

Grade: 4.0

Currently pursuing a Master of Science in Data Science, expected to graduate in the Class of 2026 with a cumulative GPA of 4.0. This advanced study focuses on specialized topics within data science.

Hofstra University

B.S., Computer Science & Mathematics

Grade: 3.5

Activities and societies: Dean’s List: (Fall 2021-Fall 2022, Spring 2024-Spring 2025)

Pursued a Bachelor of Science in Computer Science and Mathematics, graduating in the Class of 2025 with a cumulative GPA of 3.5. Relevant coursework included Machine Learning, Text Mining, Programming Languages, Operating Systems, Data Structures and Algorithms, and Software Engineering. Also studied Probability & Statistics, Linear Algebra, Abstract Algebra, and various levels of Calculus.