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šŸ‘‹ Hi, Shubham Goyal.

Shubham Goyal is a Data Scientist at Tookitaki. With this, he is an artificial Intelligence Researcher, interested in doing research on different domain problems and a regular contributor to society through blogs and webinars in machine learning and artificial intelligence. He had also written a few research papers on machine learning. Moreover, a conference speaker.

šŸ“Œ Highlighted expertise in:

  • SQL
  • Data Analytics
  • Deep Learning
  • Machine Learning
  • Python Programming
  • Natural language processing

šŸ“Œ Highlighted current activities:

  • šŸ”­ Iā€™m currently working on Machine learning and Artificial Intelligence
  • šŸŒ± Iā€™m currently learning Natural language processing and computer vision.
  • šŸ‘Æ Iā€™m looking to collaborate on building communities and developing innovitive solutions with AI.
  • šŸ¤” Iā€™m looking for help with learning more and collaboration.
  • šŸ’¬ Ask me about data science, learning, and AI.
  • šŸ“« How to reach me: [email protected], @Shubham99142929.
  • šŸ˜„ Pronouns: He/him
  • āš” Fun fact: I don't use the QWERTY keyboard

ā€¢ Twitter ā€¢ LinkedIn ā€¢ My Website

My github stats

Shubham Goyal's Projects

avatarify icon avatarify

Avatars for Zoom, Skype and other video-conferencing apps.

blockchain-ml icon blockchain-ml

Combining Blockchain and Machine Learning for Fraud Detection.

cartoonize icon cartoonize

A demo webapp to convert images and videos into cartoon!

chartai icon chartai

A Streamlit powered GPT-3 Application that allows you to chat with tabular data. In addition to AI Chart creation, insights are given too.

creme icon creme

šŸØ Online machine learning in Python

datahacksummit_2017 icon datahacksummit_2017

Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark

deep-learning-in-production icon deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

dlib_obj_count icon dlib_obj_count

The Shelf Detector System For Retail Stores Using Object Detection

driver-drowsiness-detection icon driver-drowsiness-detection

A computer vision system made with the help of opencv that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsy

drowsiness-detection icon drowsiness-detection

Application can detect drowsiness and raise alarm whicch can be beneficial for cab drivers , who drive all nigght or big vehicle manufacture companies can use this application for security

extractive-text-summarization-tool icon extractive-text-summarization-tool

Extractive methods attempt to summarize articles by selecting a subset of words that retain the most important points. This approach weights the important part of sentences and uses the same to form the summary. Different algorithm and techniques are used to define weights for the sentences and further rank them based on importance and similarity among each other.

fastai-v3 icon fastai-v3

Starter app for fastai v3 model deployment on Render

fraud_detection icon fraud_detection

Built multiple classification models and developed a webapp from scratch for real-time fraud prediction

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