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Learning and Evolving
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Learning and Evolving

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victor369basu/README.md

Hi there 👋

I am Victor Basu, I'm a passionate Data Scientist and Machine Learning Engineer with a strong background in turning data into actionable insights and building intelligent systems. My journey in the world of data and machine learning began with a curiosity to unravel the hidden patterns in data and use them to make informed decisions. I am a kaggle Notebooks Master, you could follow me on Kaggle at @basu369victor. I have a hand full of experience with the technologies required today at the industry level. Other than Data Science and Machine Learning I do take some interest in web-development stuffs. You could also follow me on LinkedIn at @Victor Basu

My contribution to Keras -

My work on Attention based Protein Structure Prediction

protein Structure Prediction

Highlight

Facial Emotion Recognition

HLD

In this project I have developed an end-to-end pipeline for real-time Facial emotion recognition application through full-stack development. The frontend is developed in react.js and the backend is developed in FastAPI. The emotion prediction model is built with Tensorflow Keras, and for real-time face detection with animation on the frontend, Tensorflow.js have been used.

GitHub project repository - Facial Emotion Recognition

High quality youtube video available at - https://youtu.be/aTe05n6T5Vo

Architecture to host QuickSight Dashboard for HuggingFace model monitoring deployed on SageMaker along with data EDA

architecture

This is a solution that demonstrates how to train and deploy a pre-trained Huggingface model on AWS SageMaker and publish an AWS QuickSight Dashboard that visualizes the model performance over the validation dataset and Exploratory Data Analysis for the pre-processed training dataset. With this as the architecture for the proposing solution, we try to solve the classification of medical transcripts through Machine Learning, which is basically solving a Bio-medical NLP problem. In this solution, we also discuss feature engineering and handling imbalanced datasets through class weights while training by writing a custom Huggingface trainer in PyTorch.

GitHub project repository - Host QuickSight Dashboard for HuggingFace model monitoring deployed on SageMaker along with data EDA Demo video - https://youtu.be/RhTSnn41cnM

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  1. CycleGAN-with-Self-Attention CycleGAN-with-Self-Attention Public

    In this repository, I have developed a CycleGAN architecture with embedded Self-Attention Layers, that could solve three different complex tasks. Here the same principle Neural Network architecture…

    Python 25 1

  2. Real-time-stock-market-prediction Real-time-stock-market-prediction Public

    In this repository, I have developed the entire server-side principal architecture for real-time stock market prediction with Machine Learning. I have used Tensorflow.js for constructing ml model a…

    JavaScript 637 119

  3. End2EndAutomaticSpeechRecognition End2EndAutomaticSpeechRecognition Public

    In this repository, I have developed an end to end Automatic speech recognition project. I have developed the neural network model for automatic speech recognition with PyTorch and used MLflow to m…

    Python 31 11

  4. Respiratory-diseases-recognition-through-respiratory-sound-with-the-help-of-deep-neural-network Respiratory-diseases-recognition-through-respiratory-sound-with-the-help-of-deep-neural-network Public

    Prediction of respiratory diseases such as COPD(Chronic obstructive pulmonary disease), URTI(upper respiratory tract infection), Bronchiectasis, Pneumonia, Bronchiolitis with the help of deep neura…

    Python 40 10

  5. GoogleSheetPlot GoogleSheetPlot Public

    This library helps a user to select a google sheet from their Google drive and plots a chart with the values on the sheet. The user only needs to select the column for the x-axis and the y-axis.

    Jupyter Notebook 2 1

  6. MongoDBFlask MongoDBFlask Public

    This repository explains how to create a REST API using Python and host it locally using Docker. The goal of this task is to allow the user to interact with a database of products using APIs which …

    Python 1