Qasim Sethar

Data Scientist

https://talent.gravityer.com/qasim-sethar

For the Love of Computing.

Member since June 22, 2026

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'ML_Projects' and 'Email_Spam_Classification'.
Experience with Python, a core language for Data Science.
Exposure to Jupyter Notebooks for data analysis and model development.
Developed a RAG and document search system ('MQNotebook'), indicating understanding of information retrieval and potentially NLP concepts relevant to Data Science.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal development and exploration across various technologies (Python, Java, C++, Shell, HTML). This indicates a self-starter mentality and curiosity. However, the projects are predominantly personal and lack team collaboration context, which is crucial for cultural fit in a professional setting. The diversity of projects, while showing breadth, also suggests a lack of deep specialization in Data Science, which might require significant focus to align with a specific team's needs. The experience level is 0, which means the candidate is likely a fresh graduate or entry-level, and cultural fit would heavily depend on their adaptability and willingness to learn within a team environment.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Email_Spam_Classification

January 27, 2026 – Present

Email_Spam_Classification — repository

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Foldr

January 24, 2026 – Present

Organize files Instantly with Preview and full Undo — Fast, Safe, Cross-platform.

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MQNotebook

December 31, 2025 – Present

Enterprise-grade RAG and document search system for extracting reliable insights from real-world data.

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qasimio.github.io

December 24, 2025 – Present

Muhammad Qasim Sethar Portfolio

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DevShelf-Data

December 12, 2025 – Present

DevShelf-Data — repository

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ML_Projects

November 17, 2025 – December 6, 2025

ML_Projects — repository

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DevShelf

November 14, 2025 – Present

Blazing-fast offline search for 250+ CS books — built from scratch in Java.

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MQ-Bank

September 14, 2025 – Present

A banking application I created with C++ and Qt Framework along with filing system as data storage in First Semester - end of 2024

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qasimio

September 12, 2025 – Present

Muhammad Qasim Github Portfolio

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Scripting

August 26, 2025 – November 8, 2025

Scripting — repository

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Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'ML_Projects' and 'Email_Spam_Classification'.
Experience with Python, a core language for Data Science.
Exposure to Jupyter Notebooks for data analysis and model development.
Developed a RAG and document search system ('MQNotebook'), indicating understanding of information retrieval and potentially NLP concepts relevant to Data Science.

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 are available.

Qasim Sethar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit