Transforming complex datasets into measurable business insights through statistical modeling, predictive analytics, and structured experimentation.
I build data-driven systems focused on performance, interpretability, and business value. My expertise includes statistical analysis, feature engineering, classification modeling, and evaluation using structured experimentation and validation techniques.
End-to-end churn prediction system with feature engineering, classification modeling, and dashboard-driven business insights.
Logistic Regression · Random Forest · ROC-AUC View Project →Fraud detection model optimized for high recall in highly imbalanced datasets. Applied precision-recall tradeoff analysis to reduce financial risk.
Imbalanced Learning · F1 Score · Precision/Recall View Project →Comparative classification study with feature selection, cross-validation, and performance benchmarking.
Model Comparison · Cross Validation View Project →Implemented computer vision detection pipeline using Python, exploring feature extraction and detection accuracy.
Computer Vision · Image Processing View Project →Applied dimensionality reduction techniques to improve model efficiency and compared multiple classifiers for optimal performance.
PCA · Model Optimization · Pipeline Design View Project →Email: surajsharma1921@gmail.com
GitHub: github.com/Suraj192
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