Swapnil Shandilya

Data Scientist

https://talent.gravityer.com/swapnil-shandilya

Delhi, IndiaMember since June 19, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like Movie Recommendation System, GAN for Fashion, Stock Price Prediction, and Flower Image Classifier.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to various ML models including GANs, LSTMs, and RNNs.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning. The diversity of projects, ranging from machine learning to web development (chat app, trading app backend), suggests a broad technical curiosity. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration and cultural alignment within a structured team environment. The projects align well with a Data Scientist role, but the breadth also includes non-DS areas.

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

rental-ecom

January 24, 2025 – January 24, 2025

rental-ecom — GitHub repository

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Stock_Price-Prediction_using_LSTM

October 24, 2024 – October 29, 2024

Stock_Price-Prediction_using_LSTM — GitHub repository

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AI-Buddy-ReAct-Chatbot

August 8, 2024 – November 6, 2024

AI-Buddy-ReAct-Chatbot — GitHub repository

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Movie-Recommendation-System

August 7, 2024 – November 6, 2024

This model recommends movies based on the similarity in the genre and the content of a given movie.

View Project

Trading-app-Backend

February 1, 2024 – March 19, 2024

This repository contains the backend for some features of a trading app.

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RNN

January 31, 2024 – January 31, 2024

RNN — GitHub repository

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Chat-App-Skkity

January 31, 2024 – March 5, 2024

It is a real time chatting application.

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GAN_for_fashion

August 7, 2023 – August 7, 2023

This project contains a GAN model that that is trained on MNIST Fashion dataset from tensorflow and can generate fashion images . It also contains a discriminator that can discriminate a real image from a fake one.

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Model-Compression-Project

June 4, 2023 – June 15, 2023

Model-Compression-Project — GitHub repository

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Flower-Image-Classifier

April 5, 2023 – April 5, 2023

This model is trained on a large dataset of flower images from google. It identifies the flower(from 5 selected ones) in any image.

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like Movie Recommendation System, GAN for Fashion, Stock Price Prediction, and Flower Image Classifier.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to various ML models including GANs, LSTMs, and RNNs.

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.

Swapnil Shandilya

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit