Data Science Specialties

Healthcare data science (claims, provider networks, diagnostics)
Human behavior (emotion science, engagement, experimental design)
Audio analysis (speech & music)

Languages

R
SPSS (syntax)

Tools

dbt
Databricks
Streamlit
CEFA
Sonic Visualizer

Machine Learning Techniques

Natural Language Processing
Deep Learning (LSTMs, CNNs, transformers)
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)
Time Series Analysis

Statistical Techniques

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