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1. Salifort-Motors-Employee-Attrition-Prediction Salifort-Motors-Employee-Attrition-Prediction Public

   Analyzed a 15,000-record HR dataset to predict employee attrition using Random Forest and XGBoost classifiers. Performed EDA, feature engineering, and hyperparameter tuning via GridSearchCV. Champi…

   Jupyter Notebook

2. Telecom-Media-Campaign-Audience-Analysis Telecom-Media-Campaign-Audience-Analysis Public

   Audience analysis of a telecom media campaign using Python. Built a custom segment classifier to categorize 727 ad records into 19 audience types and computed KPIs (CTR, CVR, CPA, viewability) usin…

   Jupyter Notebook

3. Airbnb-Los-Angeles-Market-Analysis Airbnb-Los-Angeles-Market-Analysis Public

   Exploratory data analysis and cleaning of 45K+ Airbnb listings across Los Angeles using Python. Includes a property type classifier consolidating 25+ raw categories, context-driven null handling, a…

   Jupyter Notebook

4. Spotify-Catalog-Insights Spotify-Catalog-Insights Public

   Explored Spotify’s July 2025 API dataset of tracks, albums, and artists to reveal insights on song lengths, explicit content, label influence, and popularity trends. Combined SQL, Python, and data …

   Jupyter Notebook

5. Global-Fashion-Market-Analysis Global-Fashion-Market-Analysis Public

   Explores simulated retail sales data to reveal top products, monthly trends, country distribution, and includes a one-month forecast using Python (Pandas, Matplotlib, Seaborn, Scikit-Learn).

   Jupyter Notebook

6. Portfolio Portfolio Public

   Portfolio Landing Page

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