Data & Analytics

'"Analyzes observational data using matching methods, propensity scores

'"Implements deep neural networks, backpropagation, activation functions

'"Implements Monte Carlo sampling, simulation methods, and stochastic

'"Provides Compares and selects models using AIC, BIC, validation curves

Improves model robustness including adversarial robustness, out-of-distribution

'"Evaluates and mitigates fairness issues including bias detection, fairness

'"Handles missing data using imputation strategies, deletion methods

Implements maximum likelihood estimation, likelihood functions, and optimization

'"Implements logistic regression for binary and multinomial classification

'"Implements linear regression including OLS, ridge regression, lasso

'"Provides Estimates treatment effects, conditional average treatment

Implements hypothesis testing including t-tests, chi-square tests, p-values

'"Optimizes hyperparameters using grid search, random search, Bayesian

'"Provides Discovers and engineers feature interactions including polynomial

'"Creates and transforms features including polynomial features, interactions

'"Implements explainability and interpretability techniques for model

'"Provides Designs experiments using design of experiments (DOE), factorial

'"Provides Performs exploratory data analysis using summary statistics

'"Provides Fits statistical distributions to data using goodness-of-fit

'"Provides Reduces data dimensionality using PCA, t-SNE, UMAP, autoencoders

'"Creates effective visualizations including plots, charts, dashboards

'"Implements data versioning, lineage tracking, provenance management

'"Implements data validation, cleaning, outlier detection, and quality

Provides Extracts data profiles, schemas, metadata, and statistical summaries