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melainefernandez/README.md

Hi, I'm Melaine 👋

I'm a Computer Science graduate from the University of South Florida (May 2026, GPA 3.52) with a passion for using data to solve real problems. I'm currently seeking an entry-level Data Scientist role where I can apply Python, SQL, and machine learning to drive meaningful insights.

🧠 What I Work With

Languages Python SQL C C++ C# JavaScript

Data Science & ML pandas NumPy scikit-learn Matplotlib Plotly Streamlit Jupyter

Tools Git / GitHub Visual Studio Webots Excel PowerPoint

🔬 Featured Projects

🏠 Housing Price Intelligence App

End-to-end ML project predicting home sale prices using Python, scikit-learn, and Streamlit.

Random Forest model with R² ≈ 0.92 on test data Full EDA pipeline: missing value handling, feature engineering, outlier detection Interactive Streamlit dashboard for real-time price predictions

📈 Stock Data Visualization & Analysis App

Windows desktop app for real-time stock analysis built with C# and Visual Studio.

Interactive candlestick charts with filtering and trend tools Designed for comparative multi-stock financial performance analysis

🤖 Robot Localization Using Particle Filters

GPS-free robot localization using probabilistic modeling in a simulated environment.

Implemented particle filter algorithm in Python with Webots simulator Applied Bayesian inference for sensor fusion and uncertainty estimation

💼 Background

Before transitioning full-time into tech, I spent 4 years as a Pharmacy Technician working with EHR systems and insurance data pipelines, and I'm currently a Loan Office Assistant analyzing financial data and credit documentation. These roles gave me a strong foundation in data accuracy, validation, and real-world data workflows.

📫 Let's Connect

💼 linkedin.com/in/melaine-fernandez-7555b428a
📧 melainefernandez@usf.edu 🌎 Tampa, FL | Open to remote opportunities ✅ Eligible for OPT / STEM OPT

Bilingual (English & Spanish) · Detail-Oriented · Passionate about data-driven decision making in healthcare, finance, and business.

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  1. housing-price-intelligence housing-price-intelligence Public

    End-to-end ML project predicting home sale prices using Python, scikit-learn, and Streamlit. Includes EDA, Random Forest model (R² ≈ 0.92), and an interactive dashboard.

    Python 1

  2. stock-data-visualization stock-data-visualization Public

    Windows desktop app for real-time stock data analysis with interactive candlestick charts and trend filtering. Built with C# and .NET.

    C#

  3. pharmacy-healthcare-analytics pharmacy-healthcare-analytics Public

    End-to-end pharmacy healthcare analytics using Python, SQL, pandas, and Streamlit. Analyzes 300 patients across 18 Florida assisted living facilities.

    Jupyter Notebook