Jameson Jolley

Data Scientist

https://talent.gravityer.com/jameson-jolley

Member since June 28, 2026

Key Strengths

Demonstrated interest in parallel computing (CUDA, MPI, OpenMP) which is relevant for performance-intensive data science tasks.
Experience with Python and Jupyter Notebooks, fundamental tools for Data Scientists.
Exposure to various programming languages (Go, Python, C++, Zig, Cuda) indicates adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards self-directed learning and exploration of diverse technical areas, which can be a positive cultural fit for an innovative environment. However, the projects are primarily academic or personal, lacking clear team collaboration or real-world business impact, which might require adjustment in a professional setting. The target role is 'Data Scientist', and while there are relevant projects, the overall portfolio is quite broad, indicating a generalist tendency rather than a focused data science specialization.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

YACOT

April 13, 2026 – Present

A Unix-like CLI tool for optimizing calendar schedules using a pipeline of optimization passes. Reads ICS files, transforms them through Uiua optimization scripts, and outputs optimized ICS files.

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hack_nmsu

April 10, 2026 – Present

hack_nmsu — GitHub repository

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Applied-Machine-Learning-I-Open-Machine-Learning-Project

February 20, 2026 – Present

Applied-Machine-Learning-I-Open-Machine-Learning-Project — GitHub repository

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Single-layer-Linear-Neural-Networks-python

February 11, 2026 – Present

Single-layer-Linear-Neural-Networks-python — GitHub repository

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Programming-Project-9-Implement-CUDA-Count3s

December 5, 2025 – December 6, 2025

Programming-Project-9-Implement-CUDA-Count3s — GitHub repository

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Programming-Project-8-Implement-Chapter-7-MPI-Count3s

November 21, 2025 – November 21, 2025

Programming-Project-8-Implement-Chapter-7-MPI-Count3s — GitHub repository

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Programming-Project-7-Hello-World-MPI

November 7, 2025 – November 7, 2025

Programming-Project-7-Hello-World-MPI — GitHub repository

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Programming-Project-6-Implement-Chapter-Figure-6.27-with-OpenMP

October 26, 2025 – October 30, 2025

Programming-Project-6-Implement-Chapter-Figure-6.27-with-OpenMP — GitHub repository

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home-manager

October 25, 2025 – Present

home-manager — GitHub repository

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Scizzors

August 2, 2025 – August 19, 2025

Scizzors — GitHub repository

View Project

Key Strengths

Demonstrated interest in parallel computing (CUDA, MPI, OpenMP) which is relevant for performance-intensive data science tasks.
Experience with Python and Jupyter Notebooks, fundamental tools for Data Scientists.
Exposure to various programming languages (Go, Python, C++, Zig, Cuda) indicates adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Jameson Jolley

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit