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248JO/README.md

👋 Hi, I'm Judy!

🎓 Junior at the University of Utah, studying Computer Engineering

🔭 Aspiring Hardware, Software, Machine Learning, and Business Enthusiast

I love tackling real-world problems through data analysis and predictive modeling. I’m committed to continuous learning and skill development, and I believe taking initiative is crucial to personal growth. (Ask me about growing my technical skills and leadership as a Break Through Tech Fellow!) Currently, I'm focusing on building machine learning models and diving deeper into data analysis. I’m looking to leverage and grow my skills in an internship where I can contribute to exciting projects and learn from industry professionals - got any leads? Let me know!

What We Did: This project, Stock Price Prediction from Financial News, created a machine learning pipeline to forecast short-term S&P 500 price movements. We utilized FinBERT for sentiment analysis on news headlines, integrated these sentiment features with historical stock data, and trained models, such as XGBoost, to predict the next-day trend.

Tools: Python, spaCy, scikit-learn

Results: The XGBoost model demonstrated a theoretical 165.67% return in a simulated trading period, with insights showing that news sentiment had a weak incremental impact on accuracy, guiding a revised feature engineering strategy.

🛠 Tech Stack:

Languages: Python, Java, C++
Data Science: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
Web Dev: Gradio
Tools: Jupyter Notebooks, Google Colab, Git, GitHub
Databases: yfinance, Kaggle

🚀 Projects:

A few other projects I’ve worked on:

Snake Game - Multiplayer Snake Game

Developed an interactive, multiplayer snake game using C#, HTML, and CSS, implementing a backend GUI and a shared game server for real-time competition.
Tech Stack: C#, HTML, CSS, JavaScript
Learnings: Designing game logic and real-time interactions, teamwork, and building a functional, interactive multiplayer experience

RL Cart Pole Agent - Deep Q-Network Agent

This project implements a Deep Q-Network (DQN) agent designed to solve the OpenAI Gym CartPole-v1 environment by learning to balance a pole on a moving cart.
Tech Stack: Python, Jupyter Notebook, OpenAI Gym
Learnings: Reinforcement Learning, Deep Q-Networks (DQN), Neural Networks

📫 How to Reach Me: Email: jojewia@gmail.com LinkedIn: www.linkedin.com/in/judy-ojewia

✨ Fun Fact: I love traveling and the outdoors! At any given moment you can find me booking flights, planning a trip, or saving travel spots on Pinterest.

Pinned Loading

  1. Break-Through-Tech-Salesforce-1a Break-Through-Tech-Salesforce-1a Public

    Forked from ShambhaviBhandari/Break-Through-Tech-Salesforce-1a

    Break Through Tech Salesforce Project

    Jupyter Notebook

  2. cache-simulator cache-simulator Public

    Cache simulator that models direct-mapped, set-associative, and fully associative cache architectures, tracking hits and misses to evaluate performance.

    Java

  3. paint-program paint-program Public

    Java

  4. slide-puzzle slide-puzzle Public

    Java

  5. snake-game snake-game Public

    Multi-player snake game

    C#