Farice

Data Scientist

https://talent.gravityer.com/farice

Member since June 19, 2026

Key Strengths

Demonstrated interest in Python-based projects, including machine learning (tensorflow-example, tf-face) and general scripting (todo_system, vmonitor, auto_evacuate, document_record).
Exposure to front-end technologies (HTML, CSS, JavaScript, SCSS) through personal projects (farice4.github.io, todo_system, Soft_Example).
Basic understanding of containerization (Dockerfile in tf-face) and orchestration concepts (kubernetes-example-source).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a self-starter attitude. The diversity of projects, from web development to machine learning and system scripting, suggests a broad interest in technology. However, the descriptions are minimal, making it difficult to fully assess the depth of engagement or collaborative potential. The target role is 'Data Scientist', and while there are Python and TensorFlow projects, the overall portfolio lacks explicit data science methodologies, statistical analysis, or large-scale data processing examples. This suggests a potential gap in direct cultural fit for a senior data scientist role without further evidence.

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

todo_system

March 18, 2026 – Present

管理日常TODO工作

View Project

tf-face

September 27, 2019 – November 21, 2022

tf-face — GitHub repository

View Project

tensorflow-example

September 4, 2019 – September 4, 2019

tensorflow-example — GitHub repository

View Project

kubernetes-example-source

September 13, 2018 – March 30, 2020

kubernetes-example-source — GitHub repository

View Project

farice4.github.io

August 1, 2018 – Present

farice4.github.io — GitHub repository

View Project

document_record

January 13, 2018 – April 15, 2018

document_record — GitHub repository

View Project

document

July 2, 2017 – July 2, 2017

document — GitHub repository

View Project

vmonitor

August 17, 2016 – August 17, 2016

vmonitor — GitHub repository

View Project

auto_evacuate

July 22, 2016 – June 2, 2017

auto_evacuate — GitHub repository

View Project

Soft_Example

September 6, 2015 – December 25, 2017

Soft_Example — GitHub repository

View Project

Key Strengths

Demonstrated interest in Python-based projects, including machine learning (tensorflow-example, tf-face) and general scripting (todo_system, vmonitor, auto_evacuate, document_record).
Exposure to front-end technologies (HTML, CSS, JavaScript, SCSS) through personal projects (farice4.github.io, todo_system, Soft_Example).
Basic understanding of containerization (Dockerfile in tf-face) and orchestration concepts (kubernetes-example-source).

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.

Farice

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit