Abdullah Tahir

Data Scientist

https://talent.gravityer.com/abdullah-tahir

Learner

IndiaMember since June 13, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like 'Bileve-NeuroIPS', 'yourflix-recommender', and 'Machine-learning-using-Octave'.
Experience with Python, a core language for Data Science.
Exposure to Jupyter Notebook for data analysis and presentation.
Familiarity with machine learning concepts as evidenced by the 'yourflix-recommender' and 'Machine-learning-using-Octave' projects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a diverse range of interests, including web development (PHP, HTML, Java, TypeScript), machine learning (Python, Octave), and data science. This breadth suggests adaptability and a willingness to explore different technical domains. The projects align with the target role of Data Scientist, particularly those focused on ML and data analysis, indicating a potential good fit for a role requiring continuous learning and application of new techniques.

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

Docker_PMA

April 25, 2026 – Present

Docker_PMA — GitHub repository

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Bileve-NeuroIPS

November 19, 2025 – December 26, 2024

This is the official implementation of Bileve (NeurIPS'24).

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web_assignment

December 7, 2020 – December 7, 2020

web_assignment — GitHub repository

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repairExpress

November 7, 2020 – December 14, 2020

repairExpress — GitHub repository

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yourflix-recommender

September 22, 2020 – October 5, 2020

A movie recommender engine using Machine Learning, Web Scraping and Django.

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movie-frontend

September 22, 2020 – September 22, 2020

movie-frontend — GitHub repository

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Coursera_Capstone

August 24, 2020 – September 30, 2020

Coursera_Capstone — GitHub repository

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Machine-learning-using-Octave

June 16, 2020 – July 26, 2020

Machine-learning-using-Octave — GitHub repository

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Data-Sciene-Notebook

May 11, 2020 – September 4, 2020

Data-Sciene-Notebook — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like 'Bileve-NeuroIPS', 'yourflix-recommender', and 'Machine-learning-using-Octave'.
Experience with Python, a core language for Data Science.
Exposure to Jupyter Notebook for data analysis and presentation.
Familiarity with machine learning concepts as evidenced by the 'yourflix-recommender' and 'Machine-learning-using-Octave' projects.

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.

Abdullah Tahir

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit