vishu bandari

Data Scientist

https://talent.gravityer.com/vishu-bandari

Traveler | tech enthusiast

Delhi, IndiaMember since June 16, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects.
Experience with Python and Jupyter Notebook for data-related tasks.
Projects cover various ML/NLP applications like text classification, entity extraction, question answering, and drowsiness detection.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The diversity of ML/NLP projects indicates a broad interest within the data science domain. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and 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

S5CICDPIPELINE

May 15, 2025 – May 15, 2025

S5CICDPIPELINE — GitHub repository

View Project

May 15, 2025 – May 15, 2025

S5 — GitHub repository

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VishuBa

November 28, 2022 – December 29, 2022

Config files for my GitHub profile.

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Tedx-Dashboard

July 17, 2022 – July 17, 2022

Tedx-Dashboard — GitHub repository

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Interviews

January 6, 2022 – March 28, 2024

Collection of all the interview assignments

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Text-Classification-regression

July 18, 2020 – July 18, 2020

Text-Classification-regression — GitHub repository

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digit_reco

July 16, 2020 – July 16, 2020

clustering mnist data

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Question-Answering-system-in-legal-domain

July 3, 2020 – June 18, 2020

This system had performed on various tasks like Question answering system, Auto-summarisation task, and keyword identification task.

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Entity-Extraction---NLP

June 19, 2020 – June 19, 2020

Entity-Extraction---NLP — GitHub repository

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Drowsiness-detection

June 19, 2020 – June 19, 2020

We can detect the whether a person driving the car is sleepy or not using deep learning

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects.
Experience with Python and Jupyter Notebook for data-related tasks.
Projects cover various ML/NLP applications like text classification, entity extraction, question answering, and drowsiness detection.

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.

vishu bandari

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit