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<!DOCTYPE html>
<html lang="en">
<head>
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta charset="utf-8" />
<!-- <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no" /> -->
<meta name="description" content="" />
<meta name="author" content="" />
<title>Resume</title>
<link rel="icon" type="image/x-icon" href="assets/img/favicon.ico" />
<!-- Font Awesome icons (free version)-->
<script src="https://use.fontawesome.com/releases/v6.3.0/js/all.js" crossorigin="anonymous"></script>
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<!-- Core theme CSS (includes Bootstrap)-->
<link href="css/styles.css" rel="stylesheet" />
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</head>
<body id="page-top">
<section class="sleigh">
<div class="santa">🦌</div>
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</section>
<section class="snow">
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</section>
<section class="mountains">
<div class='mt1'>
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</div>
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<div class="mt3">
<div class="snow3"></div>
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</div>
<div class='mt4'>
<div class="snow4"></div>
<div class="snow-peak-4a"></div>
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</div>
<div class="mt5">
<div class="snow5"></div>
<div class="snow-peak-5a"></div>
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</div>
<div class="mt6">
<div class="snow6"></div>
<div class="snow-peak-6a"></div>
<div class="snow-peak-6b"></div>
<div class="snow-peak-6c"></div>
<div class="snow-peak-6d"></div>
</div>
</section>
<!-- The MIT License (MIT)
Copyright (c) 2024 mina (https://codepen.io/minimoon/pen/XWYORjX) -->
<!-- Navigation-->
<nav class="navbar navbar-expand-lg navbar-dark bg-primary fixed-top" id="sideNav">
<a class="navbar-brand js-scroll-trigger" href="#page-top">
<span class="d-block d-lg-none">Sophia Beebe</span>
<span class="d-none d-lg-block"><img class="img-fluid img-profile rounded-circle mx-auto mb-2" src="assets/img/SophiaPic.jpg" alt="..." /></span>
</a>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarResponsive" aria-controls="navbarResponsive" aria-expanded="false" aria-label="Toggle navigation"><span class="navbar-toggler-icon"></span></button>
<div class="collapse navbar-collapse" id="navbarResponsive">
<ul class="navbar-nav">
<li class="nav-item"><a class="nav-link js-scroll-trigger" href="#about">About</a></li>
<li class="nav-item"><a class="nav-link js-scroll-trigger" href="#education & experience">Education & Experience</a></li>
<li class="nav-item"><a class="nav-link js-scroll-trigger" href="#projects">Projects</a></li>
<li class="nav-item"><a class="nav-link js-scroll-trigger" href="#skills">Skills</a></li>
<li class="nav-item"><a class="nav-link js-scroll-trigger" href="#Certifications">Certifications</a></li>
</ul>
</div>
</nav>
<!-- Page Content-->
<div class="container-fluid p-0">
<!-- About-->
<section class="resume-section" id="about">
<div class="resume-section-content">
<h1 class="mb-0">
Sophia
<span class="text-primary">Beebe</span>
</h1>
<div class="subheading mb-5">
Seattle, WA ·
<a href="mailto:sophiabeebe1@gmail.com">sophiabeebe1@gmail.com</a>
<div class="floating-container">
<img src="assets/img/snowlfake real.png" class="pumpkin" alt="Floating Pumpkin">
<img src="assets/img/snow16.png" class="leaf" alt="Floating Leaf">
</div>
<div class="content-box">
<p class="lead mb-5">
I’m Sophia Beebe, a Software Engineering student with a minor in Data Analysis and Intercultural Studies at BYU-Idaho, passionate about all things creation. With experience in AI-driven natural language processing, data analysis, and automation, I am currently looking for an internship position.
I’ve worked on projects ranging from ML to SWE. I've also dabbled in AWS cloud projects as seen below. As president of the Interdisciplinary Studies club, I’ve honed my leadership and collaboration skills. I also have a passion for language learning and am currently studying Mandarin Chinese.
</p>
</div>
<div class="social-icons">
<a class="social-icon" href="https://www.linkedin.com/in/sophia10/"><i class="fab fa-linkedin"></i></a>
<a class="social-icon" href="https://github.com/sophia62"><i class="fab fa-github"></i></a>
</div>
</div>
</section>
<hr class="m-0" />
<!-- Education-->
<section class="resume-section" id="education & experience">
<div class="resume-section-content">
<h2 class="mb-5">Education & Experience</h2>
<!-- University Education -->
<div class="d-flex flex-column flex-md-row justify-content-between mb-5">
<div class="flex-grow-1">
<h3 class="mb-0">Brigham Young University of Idaho</h3>
<div class="subheading mb-3">Bachelor of Science</div>
<div>Interdisciplinary Studies – Software Engineering Major<br>
Minors in Intercultural Studies and Data Analytics
</div>
<p>GPA: 3.42</p>
</div>
<div class="flex-shrink-0">
<span class="text-primary">Graduation: December 2025</span>
</div>
</div>
<!-- Teacher's Assistant Experience -->
<div class="d-flex flex-column flex-md-row justify-content-between mb-5">
<div class="flex-grow-1">
<h3 class="mb-0">Teacher’s Assistant – Programming 310</h3>
<div class="subheading mb-3">Brigham Young University - Idaho</div>
<p>January 2025 – Present</p>
<ul>
<li>Provide guidance and assistance to students in Programming 310, reinforcing concepts in various programming languages and software development methodologies.</li>
<li>Advised 30+ students in C#, C++, and Git/GitHub workflows, reinforcing programming concepts, debugging
strategies, analytical thinking, and software development practices.</li>
<li>Collaborate with course instructors to review coursework, module assignments, and stretch challenges.</li>
<li>Support students in building personal software portfolios by researching, experimenting, and publishing well-documented projects to public GitHub repositories.</li>
<li>Utilize advanced computer science skills to help students solve complex programming problems and prepare for future internship opportunities.</li>
</ul>
</div>
</div>
<!-- Project Manager Experience (Architectural Design 430) -->
<div class="d-flex flex-column flex-md-row justify-content-between mb-5">
<div class="flex-grow-1">
<h3 class="mb-0">Project Manager – Architectural Design</h3>
<div class="subheading mb-3">Brigham Young University - Idaho</div>
<p>Elected Project Manager for CSE 430 (Software Architecture)</p>
<ul>
<li>Elected Project Manager for an Architectural design class of 25 people, to complete a multi-tier software
architecture document for a Rideshare app.</li>
<li>Coordinated a multi-tier development project, allocating resources, monitoring overall project health, and overseeing performance evaluations.</li>
<li>Maintained daily communication with team leads to gather requirements, provide guidance, and ensure alignment with project milestones.</li>
<li>Developed a comprehensive understanding of key system architectures (component diagrams, data flow diagrams, ect.) and how to apply them to meet specific software requirements.</li>
<li>Practiced ethical tech leadership by understanding and learning all project aspects, while fostering team trust, and
encouraging autonomy without micromanagement of a 200 page document.</li>
</ul>
</div>
</div>
</div>
</section>
<hr class="m-0" />
<!-- Projects-->
<section class="resume-section" id="projects">
<div class="resume-section-content">
<h2 class="mb-5">Projects</h2>
<!-- Machine Learning 450 Project2 -->
<div class="d-flex flex-column flex-md-row justify-content-between mb-5">
<div class="flex-grow-1">
<h3 class="mb-0">Machine Learning XGBoost</h3>
<div class="subheading mb-3">
Housing market in King County Washington
</div>
<p>
<div class="social-icons">
<a class="social-icon" href="https://github.com/sophia62/Machine-Learning-Housing/tree/main" target="_blank" aria-label="GitHub">
<i class="fab fa-github"></i>
</a>
</div>
</p>
<p>
Implemented and evaluated multiple machine learning models, including XGBoost and Random Forest, for price prediction.
We conducted hyperparameter tuning to optimize model performance, and used RMSE as the primary evaluation metric to compare model accuracy.
</p>
<ul>
<li><strong>Data Preparation & Exploration:</strong> Cleaned and normalized large datasets, analyzed feature distributions (EDA), and managed class imbalance (about 9:1 “no” to “yes”).</li>
<li><strong>Results & Insights:</strong> Selected XGBoost over Random Forest due to a 30% lower RMSE ($93,118.98 vs. $133,739.94).</li>
<li>Improved confidence in price predictions by reducing the average prediction error by $40,620.96.</li>
<li>Achieved an R² of 0.89, demonstrating strong predictive capability.</li>
</ul>
<p>
Through this project, I gained substantial experience in machine learning workflows (data cleaning, feature engineering, model tuning), best practices in DMPR data privacy considerations, and the importance of balancing business needs with predictive accuracy.
</p>
</div>
<div class="flex-shrink-0">
<span class="text-primary">February 2025</span>
</div>
</div>
<!-- Machine Learning 450 Project -->
<div class="d-flex flex-column flex-md-row justify-content-between mb-5">
<div class="flex-grow-1">
<h3 class="mb-0">Machine Learning 450 Project</h3>
<div class="subheading mb-3">
Banco Federal de Financas: Predictive Telemarketing Model
</div>
<div class="social-icons">
<a class="social-icon" href="https://github.com/sophia62/AI-Banking-Project/tree/main" target="_blank" aria-label="GitHub">
<i class="fab fa-github"></i>
</a>
</div>
</p>
<p>
Collaborated on an AI-driven telemarketing campaign analysis for Banco Federal de Financas to identify clients most likely to subscribe to a term deposit. Key aspects included:
</p>
<ul>
<li><strong>Data Preparation & Exploration:</strong> Cleaned and normalized large datasets, analyzed feature distributions (EDA), and managed class imbalance (about 9:1 “no” to “yes”).</li>
<li><strong>Model Development:</strong> Implemented a Random Forest Classifier (scikit-learn), tuned parameters (class weights, max depth) to address overfitting and emphasized true positives.</li>
<li><strong>Feature Engineering:</strong> Transformed categorical features and scaled numeric features for optimal model performance.</li>
<li><strong>Results & Insights:</strong> Achieved ~86% accuracy, revealing diminishing returns after multiple calls. Demonstrated the impact of economic indicators (employment rates, interest rates) on client responsiveness.</li>
<li><strong>Limitations & Next Steps:</strong> Recommended cross-validation, deeper hyperparameter tuning, and continuous monitoring to improve real-world performance.</li>
</ul>
<p>
Through this project, I gained substantial experience in machine learning workflows (data cleaning, feature engineering, model tuning), best practices in DMPR data privacy considerations, and the importance of balancing business needs with predictive accuracy.
</p>
<p>
<p>
</a>
</p>
</div>
<div class="flex-shrink-0">
<span class="text-primary">January 2025</span>
</div>
</div>
<!-- Cloud Project -->
<div class="d-flex flex-column flex-md-row justify-content-between mb-5">
<div class="flex-grow-1">
<h3 class="mb-0">Cloud Project</h3>
<div class="subheading mb-3">
WordPress (Click below for video demonstration)
</div>
<!-- Social icons for GitHub & YouTube -->
<div class="social-icons">
<a class="social-icon" href="https://github.com/sophia62/Cloud-Project" target="_blank" aria-label="GitHub">
<i class="fab fa-github"></i>
</a>
<a class="social-icon" href="https://www.youtube.com/watch?v=zfPN8i5sXMo" target="_blank" aria-label="YouTube">
<i class="fab fa-youtube"></i>
</a>
</div>
<!-- Existing YouTube link with an icon -->
<p>
Using AWS services—VPC, Security Groups, EC2, NAT Gateways, RDS, Application Load Balancer, Autoscaling Group, Certificate Manager, EFS, and Route 53—to host a WordPress Website. This project emphasizes cloud infrastructure design and DevOps practices, achieving scalability, security, and high availability for a production-ready environment.
</p>
<span class="d-none d-lg-block">
<img class="img-fluid img-profile mx-auto mb-2" src="assets/img/1._WordPress_Project_Reference_Architecture.jpg" alt="WordPress Reference Architecture" />
</span>
</div>
<div class="flex-shrink-0">
<span class="text-primary">November 2024</span>
</div>
</div>
<!-- Spacy Project -->
<div class="d-flex flex-column flex-md-row justify-content-between mb-5">
<div class="flex-grow-1">
<h3 class="mb-0">API Project</h3>
<div class="subheading mb-3">
Excel to Google Calendar API
<!-- Social icons for GitHub & YouTube -->
<div class="social-icons">
<a class="social-icon" href="https://github.com/sophia62/Excel_to_Google_API" target="_blank" aria-label="GitHub">
<i class="fab fa-github"></i>
</a>
<a class="social-icon" href="https://www.youtube.com/watch?v=Jil-Y9l29QY" target="_blank" aria-label="YouTube">
<i class="fab fa-youtube"></i>
</a>
</div>
</div>
<p>
This project automates the process of extracting schedule information from Excel files and converting it into events on Google Calendar using spaCy NLP models. Key steps include:
</p>
<ul>
<li><strong>Data Extraction:</strong> Reads Excel files, uses spaCy for entity recognition to identify event names, times, days, and dates in unstandardized formats.</li>
<li><strong>Event Grouping & Categorization:</strong> Groups recurring patterns (classes, meetings) through AI techniques, despite diverse formatting.</li>
<li><strong>Google Calendar Integration:</strong> Automatically creates and schedules events via the Google Calendar API, reducing manual data entry.</li>
<li><strong>Efficiency & Flexibility:</strong> Handles inconsistent input while syncing schedules quickly into Google Calendar.</li>
</ul>
</div>
<div class="flex-shrink-0">
<span class="text-primary">September 2024</span>
</div>
</div>
<!-- Hackathon -->
<div class="d-flex flex-column flex-md-row justify-content-between mb-5">
<div class="flex-grow-1">
<h3 class="mb-0">Hackathon 24-hour Challenge</h3>
<div class="subheading mb-3">
Major League Hacking
</div>
<!-- Social icons for GitHub & YouTube -->
<div class="social-icons">
<a class="social-icon" href="https://github.com/cupofvilatte/scotti" target="_blank" aria-label="GitHub">
<i class="fab fa-github"></i>
</a>
</div>
<p>
Collaborated on a hackathon project utilizing Pegasus, a text summarization model, to generate concise summaries from large datasets. Integrated AI-driven NLP techniques to automate document analysis, improving the speed and accuracy of content reviews. Delivered real-time data insights to end users via a custom AI pipeline.
</p>
<span class="d-none d-lg-block">
<img class="img-fluid img-profile mx-auto mb-2" src="/assets/img/scottie_Homepage.png" alt="Hackathon Screenshot" />
</span>
</div>
<div class="flex-shrink-0">
<span class="text-primary">October 2024</span>
</div>
</div>
<!-- Webpage For Class -->
<div class="d-flex flex-column flex-md-row justify-content-between mb-5">
<div class="flex-grow-1">
<h3 class="mb-0">Webpage For Class</h3>
<div class="subheading mb-3">Tea Shop</div>
<span class="d-none d-lg-block">
<img class="img-fluid img-profile mx-auto mb-2" src="assets/img/Tea_Shop2.gif" alt="Tea Shop Screenshot" />
</span>
<p>
Created a fully functional website using HTML, CSS, and JavaScript for class. Implemented responsive design principles and interactive elements to enhance user experience.
</p>
</div>
<div class="flex-shrink-0">
<span class="text-primary">December 2023</span>
</div>
</div>
</div>
</section>
<hr class="m-0" />
</div>
<!-- Skills-->
<section class="resume-section" id="skills">
<div class="resume-section-content">
<h2 class="mb-5">Skills</h2>
<!-- Programming Languages -->
<div class="subheading mb-3">Programming Languages & Tools</div>
<ul class="fa-ul mb-0">
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Python (Data Analysis, ML, Automation)
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
C++ (Algorithms, Systems Programming)
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
C# (Object-Oriented Development)
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
HTML/CSS (Web Development)
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Git/GitHub (Version Control & Collaboration)
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Swift
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
SQL
</li>
</ul>
<!-- AI, Machine Learning & NLP -->
<div class="subheading mb-3 mt-4">Artificial Intelligence & Machine Learning</div>
<ul class="fa-ul mb-0">
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
NLP (Natural Language Processing)
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
SpaCy (Text Processing & Named Entity Recognition)
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Hugging Face Transformers (GPT, Pegasus, LLaMa)
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Model Deployment (Experience with Python ML pipelines)
</li>
</ul>
<!-- Data Analysis & Tools -->
<div class="subheading mb-3 mt-4">Data Analysis & Handling</div>
<ul class="fa-ul mb-0">
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
R & RStudio (Statistical Analysis & Visualization)
</li>
<li>
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Python Data Libraries (Pandas, NumPy, Matplotlib)
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SQL (Database Queries & Management)
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Excel (Advanced Functions & Data Cleanup)
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Data Extraction & Web Scraping (Beautiful Soup, APIs)
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Google Calendar API (Automation & Integration)
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Cloud Platforms (AWS, GCP) - Basic familiarity
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Linkedin Learning-Developing with Llama 3: Meta's Innovative and Open Large Language Model- Completed 10/18/2024
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Linkedin Learning- Building NLP Pipelines with spaCy- Completed 10/06/2024
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Yoga Instructor Certification - Completed 2020
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