Transforming raw data into actionable insights through advanced analytics, machine learning, and compelling visualizations
Comprehensive data cleaning and exploratory data analysis of companies layoff dataset, identifying patterns and trends in workforce reductions across industries.
View ProjectMachine learning model using logistic regression to analyze pedestrian injury severity, examining temporal and geographical patterns affecting accident outcomes.
View ProjectInteractive dashboard visualizing data-related job market trends, salary distributions, and skill requirements across different industries and locations.
View ProjectMachine learning classification model using Random Forest and Logistic Regression to predict red wine quality based on physicochemical properties.
View ProjectComparative analysis of machine learning models (Random Forest, SVM, XGBoost) to predict customer churn and identify key retention factors.
View ProjectComplete ETL pipeline implementing medallion architecture with data ingestion, transformation, and analytics using Azure cloud services.
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