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rosaaestrada/README.md

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I’m a data science professional with a strong foundation in advanced machine learning algorithms, statistical modeling, and data visualization. I specialize in leveraging diverse programming languages and tools to perform comprehensive data analysis. With a background in Communication and Leadership Development, I bring a unique blend of technical expertise and interpersonal skills to every project.

I approach challenges with curiosity, rigor, and a focus on delivering actionable insights that drive real-world impact. I’m passionate about pushing my boundaries through side projects and continuous learning. Outside of work, I enjoy Star Wars, sports, reading, and exploring the outdoors, which help me stay curious and energized.

Property Data
Languages PythonSQLRSAS
Libraries PandasNumpyPlotlyScikit-learnMatplotlibSeabornImbalanced-learnStatsmodelsSciPyXGBoost
Tools Jupyter NotebookPower BITableauBigQueryOffice 365Google WorkspaceGoogle Colab
Concepts Data Science PipelinePredictive ModelsStatistical AnalysisMachine LearningData EngineeringData Visualization

📉 Projects

Project About
🔹 Car Resale Value: Prediction & Key Influencing Factors Applied a full data science pipeline to build and evaluate regression models predicting used car prices, delivering actionable pricing insights
🔹 Thesis: Predicting Factors Influencing Loan Default in the U.S. Prepared and modeled extensive loan and disaster data, achieving high accuracy in predicting loan defaults and exploring external risk factors
🔹 Mental Health & Age Analysis Among U.S. Adults in 2018 Cleaned and analyzed large-scale survey data to uncover key demographic factors impacting mental health in U.S. adults
🔹 Predicting 2025 GDP Growth: USA, Finland, and Denmark Engineered predictive features and developed accurate models to forecast GDP growth using socio-economic and happiness data

📜 Certificates

🔸 Feature Engineering for Machine Learning

🔸 Feature Selection for Machine Learning

🔸 Machine Learning with Imbalanced Data

🔸 Google Data Analytics Specialization

🌐 Contact

LinkedIn Email Kaggle

Popular repositories Loading

  1. Loan-Default-Feature-Analysis Loan-Default-Feature-Analysis Public

    Logistic Regression, Random Forest, and Decision Tree to predict what factors influence loan default in the U.S.

    Jupyter Notebook 1

  2. MentalHealth-Age-Analysis MentalHealth-Age-Analysis Public

    Pearson's Chi-square, Analysis of Variance (ANOVA), and Correlation Matrix to analyze the relationship between mental health and age.

    Jupyter Notebook 1

  3. Predicting-2025-GDP Predicting-2025-GDP Public

    Logistic Regression, Random Forest, and R-squared to predict which country will have higher GDP in 2025.

    Jupyter Notebook 1

  4. Car-Resale-Value-Prediction Car-Resale-Value-Prediction Public

    A machine learning project that predicts the resale price of cars and identifies the key factors that most influence their retained value.

    Jupyter Notebook 1

  5. rosaaestrada rosaaestrada Public

    Config files for my GitHub profile.

  6. good-first-issue good-first-issue Public

    Forked from DeepSourceCorp/good-first-issue

    Make your first open-source contribution.

    Vue