Mohd Arshul Mansoori

Data Scientist

https://talent.gravityer.com/mohd-arshul-mansoori

I love to solve problems. Technology is just a tool to do this.

Delhi, India

Key Strengths

Experience with workflow automation using GitHub Actions, HCL, and Dockerfile.
Proficiency in scripting languages like Shell and Python, relevant for data processing and automation.
Exposure to scientific computing workflows (e.g., normalmodes, seissol) indicates an understanding of data-intensive applications.
Familiarity with Jupyter Notebook, a key tool in data science.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects demonstrate a strong inclination towards automation, scientific computing, and data-related tasks, which aligns well with a data scientist role. The diversity of projects, from workflow management to web development, indicates a broad technical curiosity. However, the lack of explicit team-based projects or contributions makes it difficult to assess collaboration aspects.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

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

splitter

November 27, 2020 – November 27, 2020

splitter — GitHub repository

View Project

extractify-web

October 14, 2020 – October 15, 2020

extractify-web — GitHub repository

View Project

docker-paraviewweb

August 7, 2019 – August 9, 2019

docker-paraviewweb — GitHub repository

View Project

normalmodes-workflows

June 20, 2019 – April 26, 2020

Workflows for computing the normal mode at planetary scales using the NormalModes application

View Project

seissol-workflows

June 19, 2019 – October 24, 2019

Workflows for running earthquake simulations using the SeisSol software package.

View Project

figshare

March 20, 2019 – March 27, 2019

github actions for figshare

View Project

zenodo

March 4, 2019 – July 3, 2019

github actions for zenodo

View Project

ceph-workflows

February 23, 2019 – April 22, 2020

Popper workflows for Ceph

View Project

spack-github-action

February 12, 2019 – December 8, 2023

Github Action for Spack

View Project

popper-examples

January 29, 2018 – July 6, 2023

Popper workflow examples

View Project

Key Strengths

Experience with workflow automation using GitHub Actions, HCL, and Dockerfile.
Proficiency in scripting languages like Shell and Python, relevant for data processing and automation.
Exposure to scientific computing workflows (e.g., normalmodes, seissol) indicates an understanding of data-intensive applications.
Familiarity with Jupyter Notebook, a key tool in data science.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Mohd Arshul Mansoori

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit