nash

Data Scientist

https://talent.gravityer.com/nash

Wandering and Amazed

Member since June 26, 2026

Key Strengths

Demonstrated interest in Data Engineering and Data Science through multiple personal projects.
Proficiency in Python, evident across various projects.
Experience with data pipeline concepts (e.g., 'weather_data' project, 'airflow' project).
Exposure to containerization (Dockerfile) and scripting (Shell, Powershell).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a proactive learning approach and an interest in data-related fields, which aligns with a data-driven culture. The diversity of tools used (Python, Shell, Dockerfile, Jupyter Notebook, HTML, JavaScript, C++, Cython, Fortran) indicates a willingness to explore different technologies. However, the lack of team projects or professional experience makes it difficult to fully assess cultural fit.

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

to_do_list

August 20, 2025 – August 20, 2025

a simple to do list

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my-new-repo

May 13, 2025 – May 13, 2025

my-new-repo — GitHub repository

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url-shortener

May 13, 2025 – May 19, 2025

url-shortener — GitHub repository

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my_dbt_project

March 10, 2025 – March 10, 2025

exporting raw data from csv to database and create some models to experiment DBT

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dbt_project

March 9, 2025 – March 9, 2025

dbt_project — GitHub repository

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weather_data

March 9, 2025 – March 9, 2025

Creating a pipeline for fetching weather data and transform it ad store it in database.

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SIGMOD

February 24, 2025 – February 24, 2025

SIGMOD — GitHub repository

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airflow

June 26, 2024 – July 1, 2024

airflow — GitHub repository

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Data-Engineering-II-Project

April 26, 2023 – June 2, 2023

Data-Engineering-II-Project — GitHub repository

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Project_DE

March 6, 2023 – May 27, 2024

Repository for the Data Engineering Project

View Project

Key Strengths

Demonstrated interest in Data Engineering and Data Science through multiple personal projects.
Proficiency in Python, evident across various projects.
Experience with data pipeline concepts (e.g., 'weather_data' project, 'airflow' project).
Exposure to containerization (Dockerfile) and scripting (Shell, Powershell).

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.

nash

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit