Joe Hoover

Data Scientist

https://talent.gravityer.com/joe-hoover

Member since June 27, 2026

Key Strengths

Demonstrated interest in Python-based development and data-related tools through personal projects.
Experience with Jupyter Notebooks, indicating familiarity with data exploration and prototyping environments.
Exposure to AI/ML concepts through projects like 'exploring-replicate' and 'triton-materials'.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards self-directed learning and exploration of new technologies, which could indicate a proactive and curious mindset. The diversity of small projects suggests an experimental approach. However, the lack of team-based projects or detailed descriptions makes it difficult to fully assess cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

hype

September 11, 2024 – January 28, 2025

Write Python functions. Use them everywhere. HTTP, CLI, GUI, LLM (OMG)

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rgen

June 13, 2023 – June 13, 2023

A very simple CLI for generating READMEs.

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fie

March 23, 2023 – March 23, 2023

Tools for building out IE systems, fast.

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bragi

March 20, 2023 – June 5, 2023

bragi — GitHub repository

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exploring-replicate

March 12, 2023 – March 15, 2023

Taking replicate ai for a test run

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lambda-cloud-manager

February 22, 2023 – March 9, 2023

Lightweight command line tool that helps manage Lambda Cloud Instances via the Cloud API

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triton-materials

February 19, 2023 – March 15, 2023

This repo is a scratch pad for exploring OpenAI's Triton

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TheoryDrivenTextAnalysis

January 29, 2020 – February 29, 2020

Code and documentation for SPSP 2020 Workshop: A Modern Introduction to Theory-Driven Text Analysis in R

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testdeck

February 13, 2018 – February 13, 2018

testdeck — GitHub repository

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spsp-2017

January 12, 2017 – January 12, 2017

SPSP 2017 Presentation

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Key Strengths

Demonstrated interest in Python-based development and data-related tools through personal projects.
Experience with Jupyter Notebooks, indicating familiarity with data exploration and prototyping environments.
Exposure to AI/ML concepts through projects like 'exploring-replicate' and 'triton-materials'.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.

Joe Hoover

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit