txl302

Data Scientist

https://talent.gravityer.com/txl302

Member since June 26, 2026

Key Strengths

Demonstrated interest in Python-based projects, which aligns with data science tooling.
Experience with Jupyter Notebook, a common tool in data science workflows.
Exposure to C++ and CMake, indicating a foundational understanding of lower-level programming and build systems.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a breadth of interest in robotics and general programming (Python, C++, Shell). While these indicate a proactive learning attitude, direct alignment with core data science methodologies (e.g., machine learning, statistical modeling, data visualization) is not explicitly demonstrated. The project descriptions are minimal, making it difficult to gauge the depth or complexity of work. The target role is 'Data Scientist', and while Python is a key technology, the projects do not explicitly showcase data science specific applications.

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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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

paopao

July 17, 2020 – July 17, 2020

paopao — GitHub repository

View Project

python_template

February 24, 2020 – April 24, 2020

python_template — GitHub repository

View Project

Server

January 31, 2020 – April 20, 2020

Server — GitHub repository

View Project

Woody

January 31, 2020 – April 14, 2020

Woody — GitHub repository

View Project

Rin

January 31, 2020 – June 25, 2020

Rin — GitHub repository

View Project

ros_setup_script

November 30, 2018 – November 30, 2018

ros_setup_script

View Project

Self-Balance-Platform

November 24, 2018 – November 24, 2018

Self-Balance-Platform — GitHub repository

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Rover

November 19, 2018 – December 8, 2018

Rover — GitHub repository

View Project

xiaoche

October 26, 2018 – October 27, 2018

xiaoche — GitHub repository

View Project

demo_test

August 25, 2017 – October 16, 2017

demo_test — GitHub repository

View Project

Key Strengths

Demonstrated interest in Python-based projects, which aligns with data science tooling.
Experience with Jupyter Notebook, a common tool in data science workflows.
Exposure to C++ and CMake, indicating a foundational understanding of lower-level programming and build systems.

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.

txl302

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit