aravpalsule

Data Scientist

https://talent.gravityer.com/aravpalsule

IndiaMember since June 13, 2026

Key Strengths

Demonstrated proficiency in Python for AI/ML projects, including YOLOv8 for object detection and RAG systems.
Experience with full-stack development, integrating AI models into web applications (Next.js, JavaScript, HTML, CSS).
Practical application of machine learning in diverse domains such as health (NutriSense AI), infrastructure (CrackX), and recommendation systems (cine-rec-ai).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong interest in AI/ML applications. The diversity of projects (RAG, image analysis, health tech, recommendation systems) suggests an adaptable and curious individual. However, without professional experience or team-based projects, it's difficult to fully assess cultural fit in a collaborative work environment. The target role is 'Data Scientist', and the projects align well with this domain, indicating a strong intrinsic motivation for data science.

Soft Skills & Operational Fit

The provided data does not contain information to assess soft skills or operational fit. The psychometric test score is 0, indicating no assessment was completed.

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

cfap

June 9, 2026 – Present

cfap — GitHub repository

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CrimeVision-AI

June 4, 2026 – Present

CrimeVision-AI — GitHub repository

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ml-models-for-cine-rec-ai

May 25, 2026 – Present

ml-models-for-cine-rec-ai — GitHub repository

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cine-rec-ai

May 24, 2026 – Present

cine-rec-ai — GitHub repository

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loanpilot

May 1, 2026 – Present

loanpilot — GitHub repository

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solution-challenge

April 28, 2026 – Present

solution-challenge — GitHub repository

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vectorvault

April 3, 2026 – Present

VectorVault is a Retrieval-Augmented Generation (RAG) web application built with Next.js. It allows users to upload various document types, process them into vector embeddings, and interact seamlessly with the data using an AI chat interface with ai voice mode.

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Markov-Chain-Session

March 12, 2026 – Present

Markov-Chain-Session — GitHub repository

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Nutri-Sense-AI

December 31, 2025 – Present

NutriSense AI is a full-stack web app that analyzes food ingredient labels from images or text using OCR and AI. It categorizes ingredients, highlights risks, computes a health score, explains impacts in simple language, stores user history, and generates downloadable nutrition reports.

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CrackX

December 26, 2025 – Present

CrackX is an AI-powered road damage analysis system using YOLOv8 to detect cracks, potholes, and surface defects from images. It computes severity scores, repair priorities, and a Road Health Index to support smart infrastructure monitoring, maintenance planning, and data-driven urban decision making.

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Key Strengths

Demonstrated proficiency in Python for AI/ML projects, including YOLOv8 for object detection and RAG systems.
Experience with full-stack development, integrating AI models into web applications (Next.js, JavaScript, HTML, CSS).
Practical application of machine learning in diverse domains such as health (NutriSense AI), infrastructure (CrackX), and recommendation systems (cine-rec-ai).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

The provided data does not contain information to assess soft skills or operational fit. The psychometric test score is 0, indicating no assessment was completed.

aravpalsule

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit