Saif Siddique

Data Scientist

https://talent.gravityer.com/saif-siddique

Member since June 27, 2026

Key Strengths

Demonstrated proficiency in Python for various data science applications.
Extensive experience with Natural Language Processing (NLP) projects, including LLMs and BERT fine-tuning.
Practical experience in building machine learning pipelines and APIs (e.g., fraud detection, churn prediction).
Focus on real-world problem-solving, such as cyberbullying detection and KYC automation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong interest in data science and NLP. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit. The projects show initiative and self-direction, which can be positive attributes.

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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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

nsga

March 1, 2026 – Present

nsga — GitHub repository

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tea-energy

February 16, 2026 – Present

tea-energy — GitHub repository

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kd_pruning_quantization_framework_for_nlp

January 5, 2026 – Present

kd_pruning_quantization_framework_for_nlp — GitHub repository

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finetuning_framework_for_cyberbullying

December 19, 2025 – Present

finetuning_framework_for_cyberbullying — GitHub repository

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fraud-detection-api

November 13, 2025 – December 16, 2025

Fraud Detection API using XGBoost and FastAPI

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BD-NID-KYC

November 13, 2025 – November 13, 2025

A full-stack web application that automates the Know Your Customer (KYC) process for Bangladesh National ID (NID) cards.

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E-CommerceChurnPipeline

October 16, 2025 – October 17, 2025

A complete machine learning pipeline to predict customer churn based on customer data.

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Talktail

October 15, 2025 – October 16, 2025

An intelligent e-commerce chatbot designed to provide instant, natural-language answers to customer questions about products.

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NLP_Cyber_Bullying

August 7, 2025 – August 26, 2025

This project aims to implement tiny LLMs efficiently to detect multi level harassment and cyber bullying in Bangla language.

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Finetune-Bangla-BERT-on-Bangla-Cyber-Bullying-Data

July 15, 2025 – November 14, 2025

A modular Python framework for fine-tuning the BanglaBERT model on a Bangla cyberbullying dataset for multi-label classification

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Key Strengths

Demonstrated proficiency in Python for various data science applications.
Extensive experience with Natural Language Processing (NLP) projects, including LLMs and BERT fine-tuning.
Practical experience in building machine learning pipelines and APIs (e.g., fraud detection, churn prediction).
Focus on real-world problem-solving, such as cyberbullying detection and KYC automation.

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.

Saif Siddique

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit