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Animesh Roy

Full-Stack Developer 🚀

ML/DL Enthusiast 👨‍💻

Software Developer 🎯

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About Me

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👨‍💻 Hi there! I'm Animesh Roy, a dedicated Full-Stack Developer from India. Currently, I'm employed as a Software Developer at Jio Platforms Ltd. I hold a degree in Electronics and Communication Engineering (ECE) from IIIT Allahabad. Let's connect and collaborate to create something extraordinary!

Experience

Jio Platforms Ltd.

none

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Education

Indian Institute of Information Technology, Allahabad

2019 - 2023

B.Tech in Electronics and Communication Engineering

CGPA : 8.61

Pathfinder Higher Secondary Public School, Siliguri

2017 - 2019

Higher Secondary School Certificate

Percentage : 86%

Projects

Parkinson Disease Detection And Classification

This study presents two different approaches to detecting and classifying Parkinson's Disease (PD) using two datasets. One is a Convolutional Neural Network (CNN) based model for analysing the drawing patterns of spiral sketches. Another one is Machine Learning based models such as XGBoost, Logistic Regression, DecisionTree Classifer, and SVC for analysing the speech recordings of the patients.

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Alzheimer Disease Detection and Classification

Implemented an end-to-end Deep Learning project to detect and classify Alzheimer Disease. Made a CNN model and compared it with pre-trained models such as VGG-16 and VGG-19

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Bank Management System

Java based online banking service to perform banking transactions. MySQL used for database. Customer can create an account, deposit/withdraw cash from his/her account. Admin can add/delete/update account and manages account information

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Graph Algorithm Visualizer

Implemented pathfinding graph algorithms. Algorithms used: Dijkstra, A*, BFS, DFS

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DALL-E Image Generator

This is a fun project I created using OpenAI API. You can give description and this app can generate photo based on the description. Used React for the frontend. (Eg: Description: "A futuristic fire phoenix in the middle of a blue ocean", Amount: 1 or 2 or more, Size: 256x256 or 512x512 or more)

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COVID-19 Prediction Using LSTM

Used the long short-term memory (LSTM) method to learn the correlation of COVID-19 growth over time for next 90 days based (starting from 21 April 2022) on the number of confirmed cases. This model predicts the likelihood of another wave of infections in May, June and July 2022.

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Skills

Achievements and Activities

  • Solved 500+ leetcode problems.

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