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1. customer-segmentation-insurance-mlcustomer-segmentation-insurance-mlPublic

   Machine learning project segmenting insurance customers into behavioral profiles using K-Means clustering, logistic regression, and random forest. Identifies the highest-value policy buyers from 5,…

   Jupyter Notebook

2. credit-risk-through-economic-cyclescredit-risk-through-economic-cyclesPublic

   End-to-end data wrangling project combining LendingClub loan records, NYU Stern credit spreads, and FRED unemployment data into a unified SQLite database to analyze borrower risk across economic cy…

   Jupyter Notebook

3. deep-learning-challengedeep-learning-challengePublic

   Deep learning model using TensorFlow to predict charity funding success based on structured application data. Includes full preprocessing, optimization, and evaluation steps.

   Jupyter Notebook

4. Crowdfunding_ETLCrowdfunding_ETLPublic

   Forked from cmaijala/Crowdfunding_ETL

   ETL pipeline mini-project: Extracted, transformed, and loaded crowdfunding data into a PostgreSQL database. Utilized Python (Pandas, NumPy) for data processing and created an ERD for database design.

   Jupyter Notebook

5. R-Housing-Price-RegressionR-Housing-Price-RegressionPublic

   Regression analysis in R comparing simple and multiple linear models to predict housing sale prices. Includes residual analysis, QQ plots, MSE/RMSE evaluation, and ANOVA model comparison.

6. NYC-CitiBike-Tableau-AnalysisNYC-CitiBike-Tableau-AnalysisPublic

   Tableau analysis of 1.6M+ NYC Citi Bike rides revealing distinct commuter vs leisure rider patterns and electric bike dominance. Interactive dashboards built for city officials.