Murtaza Naiyar

Data Scientist

https://talent.gravityer.com/murtaza-naiyar

Bengaluru, Karnataka, IndiaMember since June 20, 2026

Key Strengths

Demonstrated interest in Data Science, Machine Learning, and Deep Learning through personal projects.
Exposure to various programming languages including Python, Java, R, Scala, C++, and JavaScript.
Experience with Jupyter Notebook for data science and machine learning workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong self-driven interest in learning and exploring various data-related fields (ML Engineering, Data Engineering, Deep Learning, AI Agents). This indicates a proactive and curious mindset, which can be a positive cultural fit for roles requiring continuous learning and innovation. However, the lack of team projects or professional experience makes it difficult to fully assess collaboration and broader cultural alignment.

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

ai-ecommerce-assistant

September 1, 2025 – September 1, 2025

Building an Ecomerece assistant using AI

View Project

AgenticAi

June 18, 2025 – July 14, 2025

All about Ai Agents

View Project

MurtazaNaiyar.github.io

October 25, 2022 – October 25, 2022

MurtazaNaiyar.github.io — GitHub repository

View Project

MurtazaNaiyar

October 21, 2022 – October 5, 2024

My Personal Repository

View Project

ML-Engineering

July 23, 2022 – June 8, 2025

All About ML Engineering

View Project

Books

November 1, 2020 – October 24, 2022

Technical Books

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Data-Engineering

October 24, 2020 – November 19, 2022

All About Data Engineering

View Project

Machine-Learning

October 24, 2020 – July 29, 2025

Machine-Learning

View Project

Deep-Learning

October 24, 2020 – June 8, 2025

All about Deep-Learning

View Project

Python

July 22, 2019 – July 18, 2025

Automating Stuffs through Python.

View Project

Key Strengths

Demonstrated interest in Data Science, Machine Learning, and Deep Learning through personal projects.
Exposure to various programming languages including Python, Java, R, Scala, C++, and JavaScript.
Experience with Jupyter Notebook for data science and machine learning workflows.

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.

Murtaza Naiyar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit