Predictive modeling, regression, and classification systems engineered for accuracy and explainability.
A multi-layered Artificial Neural Network (ANN) optimized to predict rental prices based on complex feature sets including location, amenities, and market trends.
Advanced classification system utilizing Random Forest and Gradient Boosting to predict wine quality grades with high precision across chemical composition data.
Medical diagnostic tool implementing Support Vector Machines and Logistics Regression to classify tumors as malignant or benign with a focus on recall metrics.
Sophisticated grading system for glioma tumors using radiomic features and unsupervised learning techniques to identify tumor stages and progression.
End-to-end risk analysis system for banking customers. Uses behavioral data to predict default probability and segment customers by risk level.
Production-ready machine learning engine for financial risk assessment. Integrated with SHAP for explainability and Streamlit for real-time dashboarding.
A personalized recommendation engine using hybrid filtering techniques and content-based analysis to suggest movies based on user preferences.
Advanced clustering system using K-Means and PCA to identify distinct customer segments for targeted marketing strategies and behavioral analysis.