Olivia McCarty

About

Senior student at Boston College pursuing a Bachelor of Science in Computer Science with a minor in Finance. Passionate about machine learning, software development, and quantitative finance.

Student & Teaching Assistant

Here is some quick information about me!

  • City: Boston, MA
  • Birthday: 23 August 2002
  • Age: 22

Alongside my professional endeavors, I have a passion for adventure and discovery that takes me from the peaks of snowy mountains to the heart of bustling cities. Whether I'm skiing down challenging slopes, exploring new destinations, or trying out the latest culinary hotspots, I thrive on new experiences. These adventures ignite my creativity and broaden my perspective, enriching both my personal life and professional pursuits.

Resume

Experience

Machine Learning Research Fellow

June 2024 – Present

Boston College Engineering DepartmentChestnut Hill, MA

  • Leading project on fine-tuning Meta's MedSAM model for ultrasound image analysis.
  • Conducting model training and hyperparameter tuning to optimize performance, improving model accuracy and efficiency.
  • Designed a streamlined data management system for large ultrasound datasets, optimizing preprocessing and annotation workflows.

Software Engineer Intern

June 2023 – July 2023

Homer: The Home Management AppStockholm, Sweden

  • Led the deployment of two key projects, integrating GPT models and the LangChain framework into the app using Python.
  • Enhanced back-end infrastructure, improving performance and scalability of core services.
  • Contributed to the startup's success, helping achieve "App of the Day" recognition on the Apple App Store.

Teaching Assistant

January 2023 – Present

Boston College Computer Science DepartmentChestnut Hill, MA

  • Conduct weekly office hours, tutoring students in Computer Science I and Computer Systems, focusing on Python and C programming concepts.
  • Lead weekly discussion sections with live coding to demonstrate problem-solving strategies.
  • Provide feedback on assignments to improve code quality and problem-solving skills.
  • Develop supplemental materials and practice problems to enhance learning outcomes.

Education

B.S. in Computer Science & Minor in Finance

2021 - 2025

Boston CollegeChestnut Hill, MA

GPA: 3.645

Relevant Coursework: Software Engineering, Algorithms, Data Analytics in Finance, Linear Algebra

Activities: MEDLIFE Volunteer, Computer Science Society, The Women’s Network, MentorMatch

Technical Skills

Programming Languages: Python, Java, C, SQL, JavaScript, HTML/CSS

Libraries & Frameworks: PyTorch, Pandas, NumPy, Scikit-learn, Django, OpenCV, NLTK

Tools & Platforms: Git/GitHub, Linux, Excel

Core Competencies: Machine Learning, Data Structures, Algorithms, Financial Modeling, Data Analytics in Finance, Natural Language Processing, Computer Vision

Portfolio

Here are some of the projects I've been working on.

Subreddit Stock Sentiment Analyzer

Technologies: Python, Flask, PRAW, NLTK, Pandas, HTML/CSS, JavaScript, Node.js, Render

  • Developed a web app analyzing sentiment from multiple subreddits to provide insights on S&P 500 tickers.
  • Implemented data fetching and processing using PRAW and NLTK, performing sentiment analysis on post titles and bodies.
  • Built interactive filtering features allowing users to sort data based on criteria such as date and sentiment score.
  • Created detailed views for individual posts, integrating links to original Reddit posts for user convenience.

EaglePlan

Technologies Used: Python, HTML/CSS, Django, Google OAuth, EagleApps API

  • Developed a full-stack web app for Boston College students to create and manage personalized four-year academic plans with real-time course data.
  • Implemented a scalable architecture supporting multiple user profiles, customizable academic plans, and advisor oversight, enhancing user experience and administrative efficiency.
  • Enabled departmental analytics by providing insights into student enrollments for course and resource planning.

Fetal Head Circumference Measurement Automation

Technologies Used: Python, PyTorch, OpenCV, NumPy, Matplotlib, PIL, Scipy, Google Colab, U-Net

  • Developed a machine learning model using U-Net architecture to automate the measurement of fetal head circumference from ultrasound images.
  • Implemented data preprocessing and augmentation techniques to handle the HC18 dataset and improve model accuracy.
  • Engineered a robust evaluation pipeline to validate the model’s performance, achieving an average percent error of 2.60% on training data and 3.76% on validation data.

Homer Helper

Internship Project

Technologies Used: Python, OpenAI models, Langchain

  • Created a GPT-4-powered chatbot for Homer App to read and interpret PDF owner’s manuals and address user queries about the specified product.

Web Scraper for Owner’s Manuals

Internship Project

Technologies Used: Python, OpenAI models, BeautifulSoup

  • Designed backend tool for Homer App to automate the scraping of product owner’s manuals from various websites.

Personal Portfolio Website

Technologies Used: HTML, CSS, JavaScript

  • Developed a responsive and user-friendly portfolio website to showcase my projects, resume, and professional background.

Contact

Location:

Boston, MA