Coder.li

Data Scientist

https://talent.gravityer.com/coderli

Member since June 19, 2026

Key Strengths

Demonstrated interest in multiple programming languages (Python, Java, Go, PHP, JavaScript)
Personal projects indicate self-driven learning and exploration of various technical domains.
Exposure to Machine Learning and Recommendation Systems through 'kaikeba-RS-Action' and 'ML-exercise' projects, aligning with Data Scientist role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a broad interest in various technologies and personal projects, which could indicate a curious and self-motivated individual. However, the projects are mostly 'exercise' or 'demo' level, suggesting a learning phase rather than deep, collaborative contributions. The diversity of technologies (Python, Java, Go, PHP, Vue, HTML, CSS) indicates a willingness to explore, which can be a positive cultural fit for dynamic environments, but also might suggest a lack of deep 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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Assessing your cultural and operational fit

Projects

kaikeba-RS-Action

September 17, 2019 – September 19, 2019

开课吧-机器学习与推荐系统练习

View Project

Java-exercise

June 17, 2019 – October 7, 2019

Java-exercise — GitHub repository

View Project

LeetCode-Train

March 16, 2019 – March 16, 2019

LeetCode train use php,python,go,java

View Project

Go-

September 20, 2018 – October 8, 2021

Go 学习笔记

View Project

php_tool

July 1, 2018 – February 22, 2019

php tool function

View Project

python-exercise

May 19, 2018 – January 9, 2020

python-exercise — GitHub repository

View Project

ML-exercise

May 17, 2018 – November 9, 2019

ML-exercise — GitHub repository

View Project

ProgramminCollectiveIntelligence

April 22, 2018 – August 27, 2018

Programmin Collective Intelligence Demo

View Project

vue-demo

December 10, 2017 – January 14, 2023

vue demo

View Project

Key Strengths

Demonstrated interest in multiple programming languages (Python, Java, Go, PHP, JavaScript)
Personal projects indicate self-driven learning and exploration of various technical domains.
Exposure to Machine Learning and Recommendation Systems through 'kaikeba-RS-Action' and 'ML-exercise' projects, aligning with Data Scientist role.

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.

Coder.li

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit