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  • Massachusetts, USA

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sngillard/README.md

⭐ Featured Projects

🎓 Student Outcome Classification (Machine Learning)

Multiclass machine learning model predicting student outcomes (dropout, enrolled, graduate).
Built with Python, scikit-learn, and Jupyter Notebooks.

🔗View GitHub Repository

🚚 Package Delivery Route Optimizer (Data Structures & Algorithms)

Route optimization simulation using a greedy nearest neighbor algorithm and a custom hash table.
Models real-world delivery restrictions while minimizing the total distance traveled.

🔗 View GitHub Repository

🐶 Em’s Doggy Days Website (Frontend Development)

Website built for a professional dog trainer based in Hopkinton, MA.
Developed a responsive frontend with SEO optimization, Netlify deployment, and form handling.

🌐 Live Website
🔗 View GitHub Repository

👩🏻‍💻 Interests

Web Development
Software Engineering
Creative & educational uses of technology
Data analysis

🎓 Background

Current substitute teacher with experience supporting technology use and instruction

B.S. Computer Science (2026)
M.Ed. (2017)
B.S. Psychology (2013)

Top Five CliftonStrengths

Relator
Input
Learner
Responsibility
Adaptability

📫 Get in Touch

💼 LinkedIn

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  1. ems-doggy-days-website ems-doggy-days-website Public

    Website project for Em’s Doggy Days Professional Canine Training.

    HTML

  2. student-outcome-classification student-outcome-classification Public

    Multiclass machine learning model to predict student success outcomes in higher education. (capstone)

    Jupyter Notebook

  3. package-delivery-route-optimizer package-delivery-route-optimizer Public

    Route optimization system simulating real-world delivery logistics using a greedy nearest neighbor algorithm and a custom hash table for efficient package lookup. Handles delivery constraints such …

    Python