JaiminVadadoriya

Data Scientist

https://talent.gravityer.com/jaiminvadadoriya

Ahmedabad, Gujarat, IndiaMember since June 19, 2026

Key Strengths

Demonstrated interest in Machine Learning and Data Science through projects like 'Defect-Detection-System' and 'Movie-Recommendation-System-Using-Supervised-Learning'.
Experience with Python and relevant libraries (PyTorch, Streamlit, TFLite) for ML tasks.
Exposure to full-stack development concepts in 'E-Commerce-Product-Recommender'.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal projects, including several related to AI/ML, which aligns with a Data Scientist role. However, the diversity of technologies used across projects (C++, HTML, TypeScript, Dart, Swift, etc.) suggests a broad interest rather than deep specialization in data science tools. The lack of professional experience or team-based projects makes it difficult to assess cultural fit beyond technical alignment.

Soft Skills & Operational Fit

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

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Projects

resume_analyser

June 14, 2026 – Present

resume_analyser — GitHub repository

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Team-Task-Board-tfvc-to-git-

June 4, 2026 – Present

Team-Task-Board-tfvc-to-git- — GitHub repository

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Distributed-Cloud-Storage---Sync-Platform

February 18, 2026 – Present

A scalable, distributed cloud storage and synchronization platform built with .NET 9 and Angular 21, following Clean Architecture principles. Designed to handle large files (up to 50 GB), support offline operations, and provide real-time synchronization.

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angular-test-generator

July 21, 2025 – August 20, 2025

angular-test-generator — GitHub repository

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Defect-Detection-System

July 15, 2025 – November 17, 2025

Streamlit-based defect detection app using a TFLite deep learning model.

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E-Commerce-Product-Recommender

June 6, 2025 – November 17, 2025

A simple, full-stack machine learning project that builds a product recommendation system using real e-commerce event data.

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Movie-Recommendation-System-Using-Supervised-Learning

June 5, 2025 – November 17, 2025

A binary classification machine learning project built with PyTorch, using the MovieLens 100k dataset. The model predicts whether a user will like a movie (rating ≥ 4) based on user and movie IDs using embeddings and a feedforward neural network.

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Careflow-healthcare_AI

July 31, 2024 – Present

The main objective of this digital web-application is to develop an AI-driven solution to optimise patient scheduling and resource allocation in healthcare facilities like hospitals.

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seats_availability_in_university

March 20, 2023 – June 8, 2023

collage project

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ai_app

October 15, 2022 – April 16, 2023

ai_app — GitHub repository

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Key Strengths

Demonstrated interest in Machine Learning and Data Science through projects like 'Defect-Detection-System' and 'Movie-Recommendation-System-Using-Supervised-Learning'.
Experience with Python and relevant libraries (PyTorch, Streamlit, TFLite) for ML tasks.
Exposure to full-stack development concepts in 'E-Commerce-Product-Recommender'.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

JaiminVadadoriya

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit