lin

Data Scientist

https://talent.gravityer.com/lin-1

Member since June 25, 2026

Key Strengths

Demonstrated personal project experience in Python, including a 'quantecon' project, which aligns with data science.
Exposure to Jupyter Notebook, a key tool in data science workflows.
Diverse technical background with projects in Java, HTML, and JavaScript, indicating adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show initiative and a self-driven learning approach. The variety of technologies used suggests an openness to different tools and paradigms. However, the majority of projects are Java-centric, while the target role is Data Scientist, indicating a potential mismatch in primary focus. The 'quantecon' and 'pyfoo' projects are relevant to data science, but their depth and complexity cannot be determined from the provided descriptions.

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

art-render

April 23, 2024 – April 23, 2024

art-render — GitHub repository

View Project

quantecon

February 15, 2023 – February 16, 2023

quantecon — GitHub repository

View Project

everyhook1

January 13, 2023 – January 13, 2023

Config files for my GitHub profile.

View Project

java-agent-example

February 10, 2022 – February 10, 2022

java-agent-example — GitHub repository

View Project

December 17, 2021 – November 8, 2022

sc — GitHub repository

View Project

November 26, 2021 – November 30, 2021

ws — GitHub repository

View Project

badger-framework

June 9, 2021 – Present

simple java netty rpc

View Project

DDD-Sample

February 1, 2021 – March 24, 2021

DDD-Sample — GitHub repository

View Project

demo

June 15, 2020 – September 19, 2024

demo — GitHub repository

View Project

pyfoo

May 13, 2018 – May 13, 2018

pyfoo — GitHub repository

View Project

Key Strengths

Demonstrated personal project experience in Python, including a 'quantecon' project, which aligns with data science.
Exposure to Jupyter Notebook, a key tool in data science workflows.
Diverse technical background with projects in Java, HTML, and JavaScript, indicating 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.

lin

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit