Python code for kernel inference - optimal estimation of covariance functions

A package for constructing confidence intervals for error rates in matching tasks such as 1:1 face and speaker verification.

Hidden Markov Model (HMM) is a statistical Markov model in which the system being modelled is assumed to be a Markov process Z with unobservable "hidden" states. HMM assumes that there is another process X whose behaviour "depends" on Z. The goal is to learn about Z by observing X.

Data Activist Project on Gender Pay Gap using boxplot data visualizations

Use bootstrap resampling to estimate the sampling distribution of a statistic

scmopy: Distribution-Agnostic Structural Causal Models Optimization in Python

Python package for stratifying, sampling, and estimating model performance efficiently.

Statistics functions for python

Generalized Additive Models in Python.

Implementation of "Statistical & ML Approaches to Depression in the U.S."

Descriptive and predictive analytics on prescription volume for three outpatient pharmacies.

Python code to statistically validate networks in bipartite complex systems

ESA-2SCM for Causal Discovery: Causal Modeling with Elastic Segmentation-based Synthetic Instrumental Variable

Statistical Digital Signal Processing and Modeling

A repository for the various functions and programs I've made in the area's of: Data Science, Analytics, Machine Learning & Statistics.

Python package for probabilistic delimiter detection.

Fit an ellipse to 2D data

Built a Diabetes diagnosis prediction model and deployed it on GCP using Dockers and Kubernetes rendering done by Flask API.

Characterize exogenous particles in blood-sample image-sets using machine learning.

Welcome to my portfolio—a showcase where data, design, and strategy unite to tell compelling stories through statistics.