Mohammad Zaid Ansari

Data Scientist

https://www.opentalent.in/mohammad-zaid-ansari

IndiaMember since June 13, 2026

Key Strengths

Demonstrated interest in data science through the 'Carbon_Prediction' project using Jupyter Notebook.
Exposure to various programming languages including Python, JavaScript, C++, PHP, and Solidity.
Experience with web development technologies (HTML, CSS, JavaScript, PHP) and blockchain (Solidity).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects demonstrate a broad interest in various technical domains, including web development, game development, blockchain, and data science. This diversity suggests an adaptable and curious individual. The 'Carbon_Prediction' project aligns directly with the target role of Data Scientist, indicating a specific interest in the field. However, the lack of professional experience or team-based projects makes it difficult to fully assess collaboration and cultural fit in a professional setting.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

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Projects

zaidansari.github.io

January 21, 2026 – Present

zaidansari.github.io — GitHub repository

View Project

Security-UnsafePrice-Blockchain

November 17, 2025 – November 17, 2025

Security-UnsafePrice-Blockchain — GitHub repository

View Project

Voting_System

October 12, 2023 – October 12, 2023

Voting_System — GitHub repository

View Project

Exp4_MAD_lab

April 26, 2023 – April 26, 2023

Exp4_MAD_lab — GitHub repository

View Project

Carbon_Prediction

April 13, 2023 – April 13, 2023

Carbon_Prediction — GitHub repository

View Project

Teknack23

February 1, 2023 – February 2, 2023

A 2D parkour game

View Project

DevOps_Git

September 14, 2022 – September 15, 2022

DevOps_Git — GitHub repository

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code-deploy

August 3, 2022 – August 4, 2022

code-deploy — GitHub repository

View Project

AdmissionPortal

July 25, 2022 – October 31, 2022

AdmissionPortal — GitHub repository

View Project

Transcriber

May 8, 2022 – May 26, 2022

Transcriber — GitHub repository

View Project

Key Strengths

Demonstrated interest in data science through the 'Carbon_Prediction' project using Jupyter Notebook.
Exposure to various programming languages including Python, JavaScript, C++, PHP, and Solidity.
Experience with web development technologies (HTML, CSS, JavaScript, PHP) and blockchain (Solidity).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Mohammad Zaid Ansari

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit