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Ramkumar Rammohan | Gravity Talent Portal

Ramkumar Rammohan

Ramkumar Rammohan

Data Scientist

https://talent.gravityer.com/ramkumar-rammohan

Banglore, IndiaMember since June 16, 2026

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

https://talent.gravityer.com/ramkumar-rammohan

Top Skills

VuePythontypescriptCSSDockerfileC++QMLQMakeNSISBatchfileProcfileJupyter Notebook

Skills

VuePythontypescriptCSSDockerfileC++QMLQMakeNSISBatchfileProcfileJupyter Notebook

Projects

VAULT

December 14, 2025 – Present

My personal portfolio tracker

DraughtsGame

May 18, 2025 – May 25, 2025

Simple Draughts Game supporting 10x10board with international draughts rules.

AzDevOps

March 19, 2025 – March 19, 2025

AzDevOps Pipeline demo

ramkumarrammohan1

February 28, 2024 – February 28, 2024

1

QmlNativeMapDemo

June 18, 2023 – June 18, 2023

POC on Qml Native map with Google maps plugin

az-qt-pipeline-demo

October 15, 2022 – November 12, 2022

POC on azure devops to build qmake based projects

test

August 30, 2022 – August 30, 2022

test — GitHub repository

stock_price_notifier

August 18, 2022 – August 21, 2022

My own Whatsapp stock price notifier

myblog

August 6, 2022 – August 6, 2022

Place to save the experiences that I came across

data_science_learnings

June 21, 2021 – July 10, 2021

My data science learnings

Key Strengths

Demonstrated interest in data science through 'data_science_learnings' project.
Experience with Python, a core language for Data Science.
Exposure to Jupyter Notebooks, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a self-driven learning approach. The diversity of technologies (Vue, Python, C++, QML) suggests a broad interest, but the direct alignment with a 'Data Scientist' role is limited to a few projects. The lack of professional experience or team projects makes it difficult to assess cultural fit in a collaborative environment.

Soft Skills & Operational Fit

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