grayish

Data Scientist

https://talent.gravityer.com/grayish

Member since June 25, 2026

Key Strengths

Demonstrated interest in Deep Learning and 3D Human Pose Estimation through personal projects like 'bilinear' and 'stacked_hourglass'.
Experience with Python and Jupyter Notebook, which are core tools in Data Science.
Exposure to various programming languages (Python, Go, JavaScript, C++, Matlab, Shell, HTML, GLSL) indicates versatility.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a diverse range of interests, from deep learning research implementations to web development and graphics programming. This breadth suggests an adaptable individual. The focus on deep learning projects aligns with a Data Scientist role, indicating a potential fit for a research-oriented or ML-focused team. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit.

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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Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

vscode-color-workspace

April 24, 2026 – Present

vscode-color-workspace — GitHub repository

View Project

bilinear

July 25, 2018 – October 17, 2018

The PyTorch implementation of Julieta Martinez, Rayat Hossain, Javier Romero, James J. Little. A simple yet effective baseline for 3d human pose estimation. In ICCV, 2017.

View Project

test

March 31, 2018 – July 10, 2024

test — GitHub repository

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grayish.github.io

March 29, 2018 – June 16, 2023

grayish.github.io — GitHub repository

View Project

rotate-unity-chan

March 8, 2018 – March 8, 2018

rotate-unity-chan — GitHub repository

View Project

stacked_hourglass

October 30, 2017 – February 13, 2018

stacked_hourglass — GitHub repository

View Project

dl_tutorial

May 25, 2017 – May 26, 2017

deep learning tutorial

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tizen_gles_sample

August 5, 2016 – August 25, 2016

Tizen samples using gles 3.0

View Project

test_markdown

May 12, 2016 – May 12, 2016

test_markdown — GitHub repository

View Project

StretchTime

April 15, 2016 – March 2, 2018

StretchTime — GitHub repository

View Project

Key Strengths

Demonstrated interest in Deep Learning and 3D Human Pose Estimation through personal projects like 'bilinear' and 'stacked_hourglass'.
Experience with Python and Jupyter Notebook, which are core tools in Data Science.
Exposure to various programming languages (Python, Go, JavaScript, C++, Matlab, Shell, HTML, GLSL) indicates versatility.

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.

grayish

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit