AmurG

Data Scientist

https://talent.gravityer.com/amurg

Member since June 27, 2026

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'HybridSPN', 'linear', and 'LSPN'.
Proficiency in Python, a core language for data science.
Experience with Jupyter Notebooks, a common tool for data exploration and model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The diversity of technologies used across projects (Python, C++, Shell, Tcl, Perl, Verilog) indicates a broad technical curiosity. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.

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

OpenSTA-alt

December 27, 2025 – December 27, 2025

OpenSTA-alt

View Project

ORFS-Agent

July 3, 2025 – Present

ORFS-Agent — GitHub repository

View Project

vpr-testing

June 16, 2025 – June 16, 2025

vpr-testing — GitHub repository

View Project

tempdocmaker

May 25, 2025 – July 8, 2025

temp

View Project

amurg.github.io

March 8, 2024 – March 25, 2024

personal website

View Project

GraphTSRepresentation

February 2, 2022 – February 15, 2023

GraphTSRepresentation — GitHub repository

View Project

CS886

March 2, 2019 – April 14, 2019

CS886 — GitHub repository

View Project

HybridSPN

October 24, 2017 – October 24, 2017

Hybrid SPN for continuous and discrete variables

View Project

linear

July 2, 2017 – July 12, 2017

linear — GitHub repository

View Project

LSPN

June 28, 2017 – June 29, 2017

LSPN — GitHub repository

View Project

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'HybridSPN', 'linear', and 'LSPN'.
Proficiency in Python, a core language for data science.
Experience with Jupyter Notebooks, a common tool for data exploration and model development.

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.

AmurG

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit