Machine LearningKarachi AQI Forecasting System
End-to-end ML system for forecasting Karachi air quality up to 72 hours ahead using automated feature pipelines, Hopsworks, and multiple forecasting models.
/THE PROJECTS
Exploring what’s possible with AI, machine learning and data. A closer look at the problems, the process and the work.
5 projects
Machine LearningEnd-to-end ML system for forecasting Karachi air quality up to 72 hours ahead using automated feature pipelines, Hopsworks, and multiple forecasting models.
Machine LearningBuilt classification models (Random Forest, Logistic Regression) with SHAP/LIME explainability to support HR retention decisions.
Machine LearningImplemented extractive (spaCy) and abstractive (Transformers) summarization; fine-tuned models and evaluated on news articles.
Machine LearningEDA, feature selection, scaling, and Gradient Boosting on PIMA/Heart Disease datasets with AUC-ROC evaluation.
Machine LearningPreprocessing with imbalance handling (SMOTE), classifiers (LightGBM/SVM), and metrics reporting for lender recommendations.
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