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Hello, World!


I am Akshit Gupta.

Currently working as a Software Developer and pursuing M.Tech from BITS, Pilani in Data Science and Engineering.

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šŸ”­ Iā€™m currently working on:

  • Python
  • Java
  • SQL
  • Linux
  • Hadoop Ecosystem

šŸŒ± Iā€™m currently learning:

  • Machine Learning
  • Deep Learning
  • Django

šŸ‘Æ Iā€™m looking to collaborate on:

  • Python Automations
  • Machine Learning

šŸ’¬ Ask me about:

  • Anything, always up for a conversation.

šŸ“« How to reach me:

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I love connecting with different people from around the world, so feel free to reach out on twitter or linkedin.


Made with ā™„ by Akshit Gupta

Akshit Gupta's Projects

100-days-of-code icon 100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)

blogs icon blogs

A Python Program to act as OCR for Hindi language. This will also read multiple files at once from one directory, and will create separate text file for each image.

car-damage-detector-1 icon car-damage-detector-1

Detect dents and scratches in cars. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow.

course-material icon course-material

Course Material for in28minutes courses on Java, Spring Boot, DevOps, AWS, Google Cloud, and Azure.

ctci_python icon ctci_python

Repository with solutions to Cracking the Coding Interview in Python.

dsnd_term2 icon dsnd_term2

Contains files related to content and project of DSND Term 2

gdg-17 icon gdg-17

Google DevFest 17 (slides-source)

hadoopy icon hadoopy

A client side program which allows user to deploy Apache Hadoop cluster in his connected systems with a single click

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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