Narendra Saraf

Data Scientist

https://talent.gravityer.com/narendra-saraf

An Engineer | Programmer | Investor

IndiaMember since June 22, 2026

Key Strengths

Exposure to Python for data-related projects (IPO-Success-Scoreboard, Causal-Analysis-and-Bias-Mitigation-of-LLMs)
Experience with Jupyter Notebook, indicating familiarity with data exploration and model development environments
Demonstrated interest in machine learning/AI concepts through 'Causal-Analysis-and-Bias-Mitigation-of-LLMs'

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and diverse, showing initiative. However, the majority of projects are web development focused (HTML, CSS, JavaScript), which does not strongly align with a 'Data Scientist' target role. The limited number of data science specific projects and lack of professional experience or education in the field suggest a potential mismatch for a senior data scientist role.

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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Assessing your cultural and operational fit

Projects

Learnemon

November 22, 2025 – November 22, 2025

Learnemon — repository

View Project

IPO-Success-Scoreboard

November 22, 2025 – Present

IPO-Success-Scoreboard — repository

View Project

PhishGuard

November 22, 2025 – November 22, 2025

PhishGuard — repository

View Project

Hospital_Management_Service

November 22, 2025 – December 13, 2025

Hospital_Management_Service — repository

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Eventify

November 14, 2025 – Present

Eventify — repository

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phisheye_extension

October 15, 2025 – October 15, 2025

phisheye_extension — repository

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Causal-Analysis-and-Bias-Mitigation-of-LLMs

October 5, 2025 – Present

Causal-Analysis-and-Bias-Mitigation-of-LLMs — repository

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narendrasaraf

July 26, 2025 – Present

narendrasaraf — repository

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Python

June 26, 2025 – Present

Practice Backup Repo

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Eventizer

June 24, 2025 – October 13, 2025

Eventizer — repository

View Project

Key Strengths

Exposure to Python for data-related projects (IPO-Success-Scoreboard, Causal-Analysis-and-Bias-Mitigation-of-LLMs)
Experience with Jupyter Notebook, indicating familiarity with data exploration and model development environments
Demonstrated interest in machine learning/AI concepts through 'Causal-Analysis-and-Bias-Mitigation-of-LLMs'

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.

Narendra Saraf

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit