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Hi šŸ‘‹, I'm Debayan Das

A R&D focused Data Scientist from India working for a leading MedTech startup based out of London

  • šŸŒ± Iā€™m currently learning Project and Stakeholder Management in Data Science deliverables

  • šŸ‘Øā€šŸ’» All of my projects are available at http://dexter1618.github.io/

  • šŸ’¬ Ask me about Data Science, Machine Learning, Deep Learning, Acoustic Analysis

  • šŸ“« How to reach me [email protected]

  • šŸ“„ Know about my experiences Resume 2019

  • āš” Fun fact I identify as an existential yet optimistic nihilist.

Connect with me:

dexter1618 dexter1618

Languages and Tools:

azure bash c cplusplus docker flask git hadoop hive java kubernetes linux mongodb objectivec opencv postman python scikit_learn sqlite tensorflow

Debayan Das's Projects

awesome-quantum-machine-learning icon awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

coursera_capstone icon coursera_capstone

IBM Specialization; Applied Data Science; Coursera; Capstone Project Course

datasciencecoursera icon datasciencecoursera

Repository created as the final assignment for the Data Science Specialization "Data Scientist's Toolbox" Course by John Hopkins University, offered through Coursera

dexter1618.github.io icon dexter1618.github.io

Repository to contain the content for my static portfolio website at https://dexter1618.github.io/

dl-workshop-series icon dl-workshop-series

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

gan-understanding icon gan-understanding

Implements gans on toy datasets and preliminary ML datasets for showing certain aspects of convergence and stability. Tries to cover various loss functions defined over the years.

hognumpy icon hognumpy

Histogram of oriented gradients (HOG) Python implementation using NumPy.

humanactivityrecognitionusingsmartphones icon humanactivityrecognitionusingsmartphones

Written as the final programming assignment for the Data Science Specialization "Getting and Cleaning Data" Course by John Hopkins University, offered through Coursera

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