Pratik Raut

Data Scientist

https://talent.gravityer.com/pratik-raut-1

Member since June 30, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with Python and Jupyter Notebook for data science tasks.
Projects cover various ML/DL domains including NLP, RAG, Computer Vision (Crowd-Size-Detection, Potato-Diseases-Classification, CNN-Task).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows initiative through personal projects, which aligns with a proactive culture. The diversity of project topics (NLP, Computer Vision, RAG) suggests a broad interest in data science applications. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

RAG_Project

March 9, 2026 – Present

RAG_Project — GitHub repository

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Crowd-Size-Detection

January 18, 2026 – Present

Crowd-Size-Detection — GitHub repository

View Project

Potato-Diseases-Classification

January 18, 2026 – Present

Potato-Diseases-Classification — GitHub repository

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CNN-Task

January 15, 2026 – Present

CNN-Task — GitHub repository

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resume_website

October 14, 2025 – October 14, 2025

resume_website — GitHub repository

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RAG_model

June 19, 2024 – June 30, 2024

RAG_model — GitHub repository

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NLP_Streamlit

May 30, 2024 – May 30, 2024

NLP_Streamlit — GitHub repository

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Logistic-Supply-managment

May 9, 2024 – May 9, 2024

Logistic-Supply-managment — GitHub repository

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Deep-Learning-Model

May 9, 2024 – May 9, 2024

Implemented Deep Learning models using basic python tools like NumPy and pandas.

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pratikraut3103

May 9, 2024 – October 22, 2025

pratikraut3103 — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with Python and Jupyter Notebook for data science tasks.
Projects cover various ML/DL domains including NLP, RAG, Computer Vision (Crowd-Size-Detection, Potato-Diseases-Classification, CNN-Task).

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.

Pratik Raut

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit