Arefa

Data Scientist

https://talent.gravityer.com/arefa

Delhi, Delhi, IndiaMember since June 14, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through numerous personal projects.
Experience with various ML/DL models (U-Net, Vision Transformer, Naive Bayes, GNNs) indicates foundational knowledge.
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to multimodal data processing (SemEval-2024_MultiModal_ECPE, llm-multimodal-ecpe) is relevant for advanced data science roles.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards research and development in machine learning and data science, aligning well with roles that value continuous learning and technical exploration. The diversity of projects, from network programming to advanced ML, suggests adaptability and a broad technical curiosity. However, without professional experience or detailed project descriptions, it's hard to gauge collaboration style or alignment with specific team cultures.

Soft Skills & Operational Fit

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

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Projects

conformance_checking_for_quantifying_event_log_improvement

June 11, 2024 – June 11, 2024

conformance_checking_for_quantifying_event_log_improvement — GitHub repository

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naive_bayes_text_classification

April 24, 2024 – May 11, 2024

naive_bayes_text_classification — GitHub repository

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machine-learning

March 6, 2024 – May 28, 2024

machine-learning — GitHub repository

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llm-multimodal-ecpe

January 14, 2024 – February 15, 2024

llm-multimodal-ecpe — GitHub repository

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U-Net-Brain_tumor_segmentation

December 18, 2023 – December 18, 2023

U-Net-Brain_tumor_segmentation — GitHub repository

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vision-transformer-implementation

December 18, 2023 – December 18, 2023

vision-transformer-implementation — GitHub repository

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GNNs_for_MECPE

October 9, 2023 – January 10, 2024

GNNs_for_MECPE — GitHub repository

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Computer-Networks-Lab

September 21, 2023 – September 3, 2024

Code for CEN-593 - Computer Networks Lab

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SemEval-2024_MultiModal_ECPE

August 18, 2023 – February 12, 2024

SemEval-2024_MultiModal_ECPE — GitHub repository

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Computer-Networks-Mini-Projects

October 5, 2022 – October 6, 2025

A repository for the team assignments given for socket cross platform programming.

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Key Strengths

Demonstrated interest in Data Science and Machine Learning through numerous personal projects.
Experience with various ML/DL models (U-Net, Vision Transformer, Naive Bayes, GNNs) indicates foundational knowledge.
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to multimodal data processing (SemEval-2024_MultiModal_ECPE, llm-multimodal-ecpe) is relevant for advanced data science roles.

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.

Arefa

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit