LanguagesPython (NumPy, Pandas, Scikit-learn), C, SQL, R
Mathematics and StatisticsLinear Algebra, Real Analysis, Probability Theory, Bayesian Inference, Hypothesis Testing, Statistical Modeling
Machine LearningSupervised and Unsupervised Learning, Feature Engineering, Ensemble Methods (Random Forests, Gradient Boosting), Model Evaluation (Cross-Validation, ROC/AUC), PyTorch, TensorFlow
Deep LearningNeural Network Architectures (CNNs, RNNs, Transformers), Transfer Learning, Hyperparameter Optimization, Regularization Techniques, GPU Acceleration (CUDA)
Natural Language ProcessingTransformer Models (BERT, GPT, T5), Fine-Tuning, Tokenization Strategies, Sequence-to-Sequence Models, Named Entity Recognition, Language Modeling, Hugging Face Transformers
Human-Computer InteractionUser-Centered Design, Usability Testing, Heuristic Evaluation, Qualitative Research (Interviews, Thematic Analysis), Quantitative Research (Survey Design, Hypothesis Testing, Statistical Validation)