Skills organized around delivery.
Data Analytics & EDA
Pandas, NumPy, data quality, descriptive statistics, segmentation, visualization, operational analysis, and business recommendations.
Machine Learning
Scikit-learn, classification, regression, ensembles, feature engineering, hyperparameter tuning, threshold selection, and model evaluation.
Deep Learning
TensorFlow, Keras, neural networks, CNNs, transfer learning, fine-tuning, augmentation, and class-imbalance handling.
Generative AI & RAG
Document preprocessing, chunking, embeddings, vector retrieval, semantic search, prompt engineering, grounded LLM output, and evaluation.
Visualization & Reporting
Seaborn, Matplotlib, Plotly concepts, confusion matrices, feature importance, training curves, HTML reports, and executive-ready summaries.
Deployment & Reproducibility
Flask, Streamlit, Docker, requirements files, structured repositories, notebooks, HTML exports, and technical documentation.