fleth

Data Scientist

https://talent.gravityer.com/fleth

Member since June 24, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'tensorflow_samples' and 'keras_sign_dqn'.
Exposure to multiple programming languages including Python, Rust, Go, JavaScript, C++, and Shell, indicating versatility.
Experience with Jupyter Notebook, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a broad interest in various technologies and a self-driven learning approach, which could indicate a good cultural fit for an innovative and learning-oriented environment. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and cultural alignment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

micviz

September 30, 2024 – September 30, 2024

micviz — GitHub repository

View Project

hello-rust

March 19, 2022 – March 20, 2022

hello-rust — GitHub repository

View Project

hello-go

March 12, 2022 – March 18, 2022

hello-go — GitHub repository

View Project

grpc-example

September 15, 2018 – September 15, 2018

grpc-example — GitHub repository

View Project

sumile-proto

September 15, 2018 – September 22, 2018

sumile-proto — GitHub repository

View Project

keras_sign_dqn

November 12, 2017 – November 12, 2017

keras_sign_dqn — GitHub repository

View Project

tensorflow_samples

March 14, 2017 – September 13, 2017

tensorflow_samples — GitHub repository

View Project

fleth.github.io

January 5, 2017 – October 24, 2021

https://fleth.github.io/

View Project

mindwave_proxy

October 17, 2015 – January 21, 2017

mindwave_proxy — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'tensorflow_samples' and 'keras_sign_dqn'.
Exposure to multiple programming languages including Python, Rust, Go, JavaScript, C++, and Shell, indicating versatility.
Experience with Jupyter Notebook, a common tool in data science workflows.

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.

fleth

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit