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ericyang91/README.md

Hi 👋, I'm Eric Yang

A passionate Data Analyst from Toronto

coding

  • ⚡ I specialize in: SQL, Python, Excel, Tableau

  • 🔭 I’m currently working on LEGO the Ultimate Dashboard

  • 🌱 I’m currently learning Python Algorithms

  • 👯 I’m looking to collaborate on N/A

  • 📫 How to reach me: ericjyyang@gmail.com

Connect with me:

ericjyyang ericjyyang

Languages and Tools:

StreamlitTableauMicrosoft SQL Server d3js flask javascript mongodb pandas postgresql python scikit_learn seaborn tensorflow

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  1. Netflix_Through_the_Pandemic Netflix_Through_the_Pandemic Public

    Uses Python to analyze the performance of Netflix stock pre to post-pandemic. Includes multiple stock indicators and a comparison to Disney stock.

    Jupyter Notebook

  2. Crowdfunding_ETL Crowdfunding_ETL Public

    An ETL project that builds a pipeline of crowdfunding projects using Python, Pandas, and SQL database. An ERD and a table schema is created for support.

    Jupyter Notebook

  3. Dashboard_Soccer_Performance_vs_Money Dashboard_Soccer_Performance_vs_Money Public

    Dashboard that visualizes the market value and performance of the top soccer teams across Europe. Uses Python, Pandas, and SQL to process and manipulate data, and JavaScript to build the dashboard.

    Jupyter Notebook 1

  4. Machine_Learning_Titanic_Survival Machine_Learning_Titanic_Survival Public

    Predicting the outcome of passenger survival on the Titanic tragedy using neural networks, logistic regression, and random forest. Generates an interactive dashboard using Tableau.

    Jupyter Notebook 1

  5. Netflix_Content_Distribution_and_Trends Netflix_Content_Distribution_and_Trends Public

    Analyze the Netflix dataset using Python to gain insights into the content available on the platform and create an interactive dashboard using Tableau Public.

    Jupyter Notebook

  6. Toronto_Bike_Share_Tableau_Project Toronto_Bike_Share_Tableau_Project Public

    Tableau interactive dashboard that visualizes the usage of Toronto Bike Share across different months and time blocks.