Repository hub

Seven public repositories. One portfolio.

Each repository includes a reproducible project structure with notebook, HTML report, dataset where permitted, images extracted from the report, README, and dependency information.

Generative AI / RAG

medical-assistant-rag

Built a retrieval-augmented assistant that grounds LLM responses in trusted medical reference materials using document processing, embeddings, semantic search, vector storage, and controlled prompting.

PythonRAGLLMVector Database
Machine Learning / Deployment

superkart-sales-forecasting

Developed an end-to-end retail sales forecasting workflow spanning feature preparation, regression modeling, tuning, API packaging, containerization, and interactive delivery.

PythonScikit-learnFlaskDocker
Computer Vision / Deep Learning

helmnet-safety-helmet-detection

Created a safety-helmet image classifier using CNNs, transfer learning, fine-tuning, and data augmentation to support automated workplace compliance monitoring.

PythonTensorFlowKerasCNN
Deep Learning / Predictive Maintenance

renewind-inn-failure-prediction

Designed neural-network classifiers for wind-turbine generator failure prediction with class-imbalance handling and recall-focused evaluation for proactive maintenance.

PythonTensorFlowKerasNeural Networks
Advanced Machine Learning

easyvisa-advanced-ml

Built an ensemble-learning solution to predict visa application outcomes using bagging, boosting, stacking, hyperparameter tuning, and feature-importance analysis.

PythonScikit-learnXGBoostBagging
Machine Learning / Classification

loan-modelling-ml

Developed a customer-propensity model for personal-loan targeting using exploratory analysis, feature preparation, classification models, and business-oriented evaluation.

PythonPandasScikit-learnDecision Tree
Data Analytics / EDA

foodhub-data-analysis

Performed end-to-end exploratory analysis of food-delivery orders to uncover customer behavior, restaurant performance, cuisine demand, ratings, delivery patterns, and revenue opportunities.

PythonPandasNumPySeaborn