FINANCE (FinTech & Risk Analytics)
Data-driven fraud detection using deep learning on transaction streams
Explainable machine learning models for credit risk assessment
Stock market prediction using hybrid time-series and deep learning models
AI-based algorithmic trading using reinforcement learning
Customer churn prediction in banking using ensemble learning
Anomaly detection in financial transactions using unsupervised learning
Sentiment-aware stock price forecasting using social media data
Risk-aware portfolio optimization using machine learning
Bias and fairness analysis in automated loan approval systems
Blockchain transaction analysis using data mining techniques
HEALTHCARE (Medical & Bio Data Science)
Early disease prediction using electronic health records and machine learning
Deep learning-based medical image classification for cancer detection
Explainable AI models for clinical decision support systems
Predictive analytics for hospital readmission risk
Drug discovery using machine learning on molecular datasets
Time-series analysis of patient vital signs using deep learning
Federated learning for privacy-preserving healthcare analytics
Multi-modal data fusion for medical diagnosis (image + text + signals)
AI-based detection of diabetic retinopathy using retinal images
Genomic data analysis using data science techniques
IoT (Smart Systems & Sensor Analytics)
Anomaly detection in IoT sensor data using machine learning
Predictive maintenance for industrial IoT using deep learning
Energy consumption forecasting in smart homes using data analytics
Traffic prediction in smart cities using time-series models
Edge-based data analytics for real-time IoT applications
Intrusion detection in IoT networks using data mining techniques
Environmental monitoring using sensor data and AI
Wearable sensor data analysis for health monitoring
Fault detection in industrial machines using IoT data
Big data analytics framework for large-scale IoT systems
CLIMATE & ENVIRONMENT (Sustainability Data Science)
Climate change prediction using machine learning models
Air quality forecasting using deep learning and sensor data
Flood prediction and disaster risk modeling using data analytics
Crop yield prediction using weather and soil data
Renewable energy production forecasting using machine learning
Forest fire detection using satellite image data analytics
Water quality monitoring using data-driven models
Urban heat island prediction using spatio-temporal data
Carbon emission prediction using statistical and ML models
Climate pattern analysis using big data techniques