My skills A more exhaustive list of areas and approaches I have prior experience in. Machine learning ___________________ Interpretable ML (Permutation feature importance, SHAPley, individual conditional expectation)Feature selection and extraction (mRMR, wilcoxon ranksum, recursive feature elimination)Resampling (cross validation, bootstrapping) Multivariate analysis _____________________ Supervised (Linear and logistic regression, mixed effects model, SVM and ensemble methods)Unsupervised (k-means, hierarchical clustering, Principal and independent component analysis, PCA, singular value decomposition) Signal and image processing ___________________ Time frequency analysis (Fourier transform, wavelet analysis, empirical mode decomposition)Medical image analysis (Non linear image registration, convolutional filtering, spatial smoothing) Statistical analysis ___________________ Parameter estimation (MLE, bayesian)Non parametric hypothesis testingCategorical data analysis (Kolmogorov Smirnov, contingency tables)ANOVA , ANCOVA, 2 sample t-test Deep learning ___________________ Frameworks (TensorFlow)Custom model and layer building using Functional API and model subclassing.Formulating custom objective functions Programming languages ___________________ Python (Numpy, scikit, scikit-learn, pandas, seaborn, matplotlib, nibabel)MATLABShell scripting (bash scripting)
