Saad Ahmed Siddiqui

Data Scientist

https://www.opentalent.in/saad-ahmed-siddiqui

Exploring ML with a curiosity for all things tech.

Jamia Millia Islamia

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'paper-implementations', 'mini-agents', 'vlm-fun', 'ml-practice', and 'deep-research'.
Proficiency in Python, a core language for Data Science, evident across multiple projects.
Experience with Jupyter Notebook for data exploration and model development.
Exposure to advanced topics like VLM (Visual Language Models) and RAG (Retrieval Augmented Generation) systems.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Experience

Jamia Millia Islamia

Data Scientist

June 12, 2026 – Present

Projects

deep-research

March 18, 2026 – Present

An attempt to implement deep research using DSPy

View Project

mini-agents

January 20, 2026 – Present

Trying to build agents from scratch for fine-grained control

View Project

nexml-rag

November 18, 2025 – Present

RAG app built to automate and streamline the evaluation of research proposals.

View Project

yuki

August 30, 2025 – Present

Simple terminal-based text editor written in C++

View Project

vlm-fun

July 1, 2025 – Present

stuff related to vlms.

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sagashite

June 25, 2025 – June 29, 2025

Search for anime using description.

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paper-implementations

June 9, 2025 – July 28, 2025

implementations of some research papers 😴😴

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github-meme-wrapped

December 2, 2024 – December 23, 2024

My take on spotify wrapped but for github.

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ml-practice

August 30, 2024 – October 9, 2024

A collection of my machine learning projects and Jupyter notebooks showcasing my work in ML

View Project

ascii-flix

August 4, 2024 – August 7, 2024

Ascii Flix is a terminal-based video player that transforms videos into ASCII art for a unique viewing experience. Perfect for nostalgic or minimalistic users who want to enjoy their media in the most basic form possible.

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'paper-implementations', 'mini-agents', 'vlm-fun', 'ml-practice', and 'deep-research'.
Proficiency in Python, a core language for Data Science, evident across multiple projects.
Experience with Jupyter Notebook for data exploration and model development.
Exposure to advanced topics like VLM (Visual Language Models) and RAG (Retrieval Augmented Generation) systems.

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal exploration and implementation of technical concepts, which could indicate a self-starter mentality. However, the projects are predominantly personal and lack details on collaborative efforts or real-world impact, making it difficult to fully assess cultural fit. The target role is Data Scientist, and the projects align well with this domain, but the lack of diverse project types (e.g., open-source contributions, team projects) limits the assessment of broader cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication style, logical reasoning, or work attitude.

Saad Ahmed Siddiqui

Key Strengths

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit