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  1. citibike-covid-analysis citibike-covid-analysis Public

    Analyzed NYC CitiBike usage during March 2020 to assess the impact of COVID-19 using Python and Tableau. Includes ridership breakdowns, user type trends, and interactive dashboard.

    Jupyter Notebook

  2. Car_Price_Prediction Car_Price_Prediction Public

    Predicted used car prices with a Random Forest model (R² = 0.96) using Python. Analyzed 2,000+ listings and visualized trends with Tableau.

    Jupyter Notebook

  3. tornado-damage-dashboard tornado-damage-dashboard Public

    Built a Flask dashboard visualizing 1,000+ US tornadoes from 2023 using Leaflet.js and MongoDB. Interactive maps show tornado magnitude, damage, and frequency.

    Jupyter Notebook

  4. Home_Sales Home_Sales Public

    Analyzed 25,000+ home sales using PySpark and SparkSQL. Identified pricing trends by year built, home features, and view rating. Optimized query run-time by 70% using caching.

    Jupyter Notebook

  5. nosql-challenge nosql-challenge Public

    Analyzed 28,000+ UK restaurant records using MongoDB and PyMongo. Queried hygiene scores, location data, and customer ratings.

    Jupyter Notebook

  6. sql-challenge sql-challenge Public

    Designed and queried a PostgreSQL database of 300,000+ employee records. Analyzed salary trends, department structures, and manager assignments.