T. Ryan Johnson

Data Scientist

https://talent.gravityer.com/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.

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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

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Research-Project_Noriega

November 7, 2024 – December 14, 2024

CSCI_1070 - Final Project_Noriega

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new_repo

September 3, 2024 – September 3, 2024

This is the repo description

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gis_4010_5010

August 17, 2024 – August 24, 2024

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

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gpd

December 2, 2022 – April 17, 2023

Gaussian process derivatives for marginal effects

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gpml_gpytorch_comparison

June 27, 2022 – June 27, 2022

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

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AppliedStatisticalProgramming2022

February 13, 2022 – May 6, 2022

Problem set repository for Applied Statistical Programming (WUSTL 2022)

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gpirt

May 17, 2019 – March 24, 2024

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

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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