Manikandan Jeyabal

Data Scientist

https://talent.gravityer.com/manikandan-jeyabal

Data Engineering | Data Science | Machine Learning | Freelancing

GlaxoSmithKline

Key Strengths

Current experience as a Data Scientist at GlaxoSmithKline, indicating direct role relevance.
Demonstrated interest in Machine Learning through 'Machine-Learning-101' project.
Experience with Python, a core language for Data Science, as seen in multiple personal projects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a focus on Python and some exposure to Azure automation, which could indicate an interest in practical application. However, the project descriptions are very brief, making it difficult to assess the depth of engagement or collaborative potential. The diversity of projects is limited, primarily revolving around basic GitHub repositories and Python scripts, which might suggest a narrower range of interests or experience compared to a senior role.

Soft Skills & Operational Fit

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

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Projects

blog

October 17, 2025 – November 6, 2025

blog — GitHub repository

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AZURE-AUTOMATE

July 22, 2022 – July 25, 2022

Azure CICD Automation

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github-slideshow

June 30, 2022 – June 30, 2022

A robot powered training repository :robot:

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PYTHON-TRAINING

June 18, 2022 – September 20, 2022

Python Training Workspace

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AZURE-DEMO

June 18, 2022 – August 18, 2022

AZURE-DEMO — GitHub repository

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Ally

February 9, 2020 – February 9, 2020

Ally — GitHub repository

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Zero

January 29, 2020 – August 18, 2020

Projcet - Zero

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Machine-Learning-101

April 12, 2019 – February 26, 2021

Machine Learning 101

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ManikandanJeyabal.github.io

January 28, 2019 – April 16, 2019

Repository contains my project details and work details

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Notes

January 30, 2018 – December 30, 2022

Notes — GitHub repository

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Key Strengths

Current experience as a Data Scientist at GlaxoSmithKline, indicating direct role relevance.
Demonstrated interest in Machine Learning through 'Machine-Learning-101' project.
Experience with Python, a core language for Data Science, as seen in multiple personal projects.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Manikandan Jeyabal

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit