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Hi there Nice to see you

🚀 About Me

👨‍🎓 I am Vinayaka, a Master's graduate in Data Science from Deakin University, Melbourne, Australia.

🏢 Previosuly Worked as a Data Analyst, Bangalore, India.

🏢 Previosuly Worked as a Data Scientist for a Consultancy company in the area of Machine Learning for 5G Networks.

🏢 Currently working as a Senior Data Scientist for a Fortune 100 Product based company.

✨ I love to explore AI and try to build a strong connection between theoretical and practical scenarios in today's digital world.

My research interests covers Machine Learning, focusing on kernel similarity methods for Large Margin classifiers like Support Vector Machine classifer (SVM) and Dimensionality Reduction techniques.

💻 I'm currently learning

  • AI Operations

🎯 Areas of Interest

  • Machine Learning
  • Data Mining and Data Analysis
  • Deep Learning
  • AI Operations (AI Ops/ML Ops)
  • Cybersecurity

🔧 Tools and technologies

bash bootstrap css3 flask git heroku html5 linux mysql opencv python scikit_learn tensorflow terminal R-project NumPy Pandas Wireshark matplotlib tableau google_colab keras latex

You can also find me on

vmalgi| LinkedIn vmalgi | Gmail vmalgi | github



📈 Profile Stats

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Wear a masks and take your vaccine.
Note : Most used languages doesn't indicate my skillset, it's a github metric of which languages I have the most code on the github. These languages can change in future.

Vinayaka Vivekananda Malgi's Projects

advancedsqlpuzzles icon advancedsqlpuzzles

Welcome to my GitHub repository. I hope you enjoy solving these puzzles as much as I have enjoyed creating them.

covid-19-detection-using-deep-learning icon covid-19-detection-using-deep-learning

In this end to end project, we try to determine if the person has contracted COVID-19 disease by Machine Learning.The Deep Learning model predicts if a person has COVID-19 by taking in the Chest X-ray image as an input.The project has been hosted on heroku platform

deakin-ai-challenge2022 icon deakin-ai-challenge2022

The Deakin Simpsons challenge 2022 is a computer vision competition that is designed to provide students with the opportunity to work as team members, to compete with each other, and to enhance the student learning experience by improving their AI modeling, problem-solving, and team-working skills.

dvc-ml-pipeline icon dvc-ml-pipeline

In this repository, we build a DVC pipeline for a simple machine learning algorithm. The pipeline would load the data from a repository, split, train, and evaluate the data

dvc-pipeline icon dvc-pipeline

This repository is about implementing a sample Data version Control pipelines, which is a commonly used pipeline for Machine Learning tasks

ecg-image-kit icon ecg-image-kit

A toolkit for analysis, synthesis, and digitization of electrocardiogram images

exo icon exo

Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚

fashion_mnist_dvc icon fashion_mnist_dvc

This repository is a small POC for implementing a DVC pipeline on the classification of Fashion MNIST data sets using CNN's. Also, implemented is the CI-CD pipeline through GitHub actions which runs the whole DVC pipeline in the background when any changes are pushed to the repository.

heart-attack-prediction-using-machine-learning icon heart-attack-prediction-using-machine-learning

In this end to end project, we try to predict the chances of a person getting heart attack using Machine Learning by taking into consideration of various factors such as age, sex, type of chest pain, maximum heart rate achieved, major number of arteries.Also included is the EDA and the Power BI visualisation files

my-org-resume icon my-org-resume

Personal CV/Resume written in Org-mode with the LaTeX AltaCV template.

plots2 icon plots2

a collaborative knowledge-exchange platform in Rails; we welcome first-time contributors! :balloon:

rasa-nlu---chatbot icon rasa-nlu---chatbot

In this repository, we have built a chatbot that can answer questions related to Mucormycosis infection also colloquially called as Black Fungus infection.Mucormycosis is a deadly infection affecting the patients who have recovered from COVID-19 and currently very few people have knowledge about this deadly disease. The technology behind the chat is open source RASA X which internally uses Spacy library to process the Natural Language.The model was trained using DIET classifier in Tensorflow for 100 epochs.Furthermore, we were able to integrate the Chatbot into Telegram and Slack messaging application.Lastly, the application was deployed on Google Cloud Platform

tsne icon tsne

t-SNE implementation in Scala using Breeze numeric libarary.

yolov3 icon yolov3

Implementation of YOLOv3 in detecting objects in a video

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