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Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx2

Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx2

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LegallyNotBlonde/README.md
  • 👋 Hi, there! I’m Sabrina.
  • 🤝 I'm a Data Analyst and Sales Operations Analyst uncovering patterns, unlocking insights, and driving impact through data-driven solutions.
  • 👀 Curiosity fuels me: From history to sociology to AI and business analysis: I love diving into anything that sparks new ideas.
  • 🌱 Always learning: expanding my expertise in Data Analytics, Machine Learning, and Data Engineering with Python, SQL, and Tableau.
  • 💞️ Thriving in collaboration: I love learning from others, sharing ideas, and solving challenges together.
  • 📫 Let’s connect: LinkedIn
  • 😄 Pronouns: she/her
  • 🎯 Fun fact:
    I love creative cooking, taking classic recipes and giving them a unique twist (sometimes a great success, sometimes... a learning experience!). 🍲✨
  • ⭐ Why this GitHub is special:
    This isn’t just a collection of code—it’s a journey of growth, problem-solving, and discovery. Every repository tells a story of challenges tackled and insights gained.

🚀 I love uncovering insights and solving real problems. Let’s make the data work for us!

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  1. Movie_Analysis Movie_Analysis Public

    Analyzed 5,000+ movies with Pandas and Colab to build a machine learning model predicting movie revenue.

    Jupyter Notebook 2

  2. Tableau_Citi_Bike Tableau_Citi_Bike Public

    Analyzed Citi Bike data to uncover trends in ride duration, peak usage, and station demand, offering recommendations to optimize bike availability

    Jupyter Notebook

  3. MegaData_SparkProject_Home_Sales MegaData_SparkProject_Home_Sales Public

    This project used SparkSQL and PySpark to analyze home sales data, optimizing performance with caching and partitioning by build date.

    Jupyter Notebook

  4. Fire-Analysis Fire-Analysis Public

    Transformed wildfire data into SQL, leveraging Python, Pandas, and interactive JavaScript dashboards to uncover trends in wildfire frequency, damage, and economic impact (2008-2022).

    Jupyter Notebook 2

  5. credit-risk-classification credit-risk-classification Public

    Built a Logistic Regression model for loan risk prediction, focusing on credit risk and improving high-risk loan detection.

    Jupyter Notebook

  6. Crowdfunding_ETL Crowdfunding_ETL Public

    Built an ETL pipeline to extract, transform, and load crowdfunding data into PostgreSQL, using Python and Pandas for transformation and ensuring data integrity with foreign key constraints

    Jupyter Notebook