T. Ryan Johnson

Data Scientist

https://www.opentalent.in/t-ryan-johnson

Member since June 25, 2026

Key Strengths

Demonstrated interest in statistical programming and data analysis through personal projects.
Experience with R, Python, C++, and Matlab, which are relevant for data science roles.
Projects involving Gaussian Processes and MCMC sampling indicate a foundational understanding of advanced statistical modeling techniques.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show an academic inclination, particularly in statistical programming and GIS. The diversity of projects, while personal and academic, suggests a foundational interest in data-related fields. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit for a collaborative industry environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Justina-A-Final-CSCI_1070

December 14, 2024 – December 15, 2024

Justina-A-Final-CSCI_1070 — GitHub repository

View Project

Research-Project_Noriega

November 7, 2024 – December 14, 2024

CSCI_1070 - Final Project_Noriega

View Project

new_repo

September 3, 2024 – September 3, 2024

This is the repo description

View Project

gis_4010_5010

August 17, 2024 – August 24, 2024

This repo has lecture material, examples, and assignments for GIS 4010/5010 at SLU.

View Project

gpd

December 2, 2022 – April 17, 2023

Gaussian process derivatives for marginal effects

View Project

gpml_gpytorch_comparison

June 27, 2022 – June 27, 2022

Compare simple models that fail to train in GPyTorch with their implementation in GPML

View Project

AppliedStatisticalProgramming2022

February 13, 2022 – May 6, 2022

Problem set repository for Applied Statistical Programming (WUSTL 2022)

View Project

gpirt

May 17, 2019 – March 24, 2024

Provides an MCMC sampler and related tools for a Gaussian Process IRT model

View Project

Key Strengths

Demonstrated interest in statistical programming and data analysis through personal projects.
Experience with R, Python, C++, and Matlab, which are relevant for data science roles.
Projects involving Gaussian Processes and MCMC sampling indicate a foundational understanding of advanced statistical modeling techniques.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

T. Ryan Johnson

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit