Data Science Specialties

Human behavioral analysis (emotion science, experimental design, survey analysis)
Audio analysis (speech & music)
Healthcare data science

Languages

R
SPSS (syntax)

Tools

Databricks
VSCode
Streamlit
CEFA
Sonic Visualizer

Machine Learning Techniques

NLP
Regression (linear, polynomial, regularized)
Classification (naïve Bayes, kNN, SVMs, logistic regression, multiclass classification)
Ensemble Learning (random forests, XGBoost, CatBoost, LGBM, voter models)
Dimensionality Reduction (PCA, tSNE, UMAP, SVD)
Clustering (k-means, hierarchical)
Neural Networks (RNNs, LSTMs, CNNs, transformers)
Time Series Analysis

Statistical Techniques

Psychometrics
Item Response Theory
Principal Component Analysis
Hierarchical Linear Models (mixed models, random-effects models)