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Vidhee843/README.md

Hi, I'm Vidhee Patel 👋

🎓 MS Business Analytics @ Northeastern University
💻 CS Graduate from NYIT
📍 Boston, MA
🔍 Seeking Summer 2026 Internship | Data Analytics | Business Intelligence | Consulting

🛠️ Tech Stack

Languages: Python · R · SQL · Java · HTML/CSS
ML & Analytics: Random Forest · K-Means · Logistic Regression · SVM · NLP · TF-IDF · PCA
Tools: Tableau · Power BI · Jupyter · Scikit-learn · TensorFlow · Pandas · Sanic
Databases: MySQL · PostgreSQL · SQLite · MongoDB

🚀 Featured Projects

Project Description Tools
Airbnb Price Prediction ML pipeline on 5,618 listings achieving RMSE of 99.81 Python, Scikit-learn
NYC Citi Bike Rebalancing Analysis of 37M rides across 2,300+ stations Python, Tableau
Fashion Retail Analytics 99.96% accuracy classifier on 42,388 products R, Random Forest
Research Guard AI-powered research repository with NLP classification Python, Sanic, SQL
Phishing URL Detection Neural network achieving 96% accuracy on 230K+ URLs Python, TensorFlow

📫 Connect With Me

LinkedIn Email

Popular repositories Loading

  1. csci-436.labs csci-436.labs Public

    HTML

  2. airbnb-price-prediction airbnb-price-prediction Public

    End-to-end ML pipeline predicting Airbnb listing prices across 4 US cities using Random Forest with GridSearchCV | Python, Scikit-learn

    Python

  3. citibike-rebalancing citibike-rebalancing Public

    Large-scale analysis of 37M NYC Citi Bike rides to identify demand imbalances and deliver rebalancing recommendations | Python, Tableau

  4. fashion-retail-analytics fashion-retail-analytics Public

    K-Means clustering and Random Forest classification on 42,388 fashion products achieving 99.96% accuracy | R, PCA

    HTML

  5. miso-survey-analysis miso-survey-analysis Public

    Data storytelling project analyzing FSU MISO Survey data to surface IT service gaps using gap analysis and animated visualizations | Python

    HTML

  6. phishing-url-detection phishing-url-detection Public

    Neural network phishing detection model on 230,000+ labeled URLs achieving 96% accuracy | Python, TensorFlow, Keras

    Jupyter Notebook