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Hi there!šŸ‘‹ I'm Shayan Kumar

A data scientist, machine learning, Deep Learning and AI enthusiast.

A young-dumb šŸ¤“ Data Science, ML especially Computer Vision Expert from India šŸ‡®šŸ‡³

Welcome to my GitHub profile!

Skills

  • šŸ’» Proficient in Python programming
  • šŸ“ˆ Skilled in data analysis and visualization
  • šŸ¤– Experienced in building machine learning and Deep Learning models

About Me

  • šŸ”­ Iā€™m currently working on computer vision projects.
  • šŸŒ± Iā€™m currently learning more about deep learning techniques for image processing.
  • šŸ‘Æ Iā€™m looking to:
    • collaborate on projects related to object detection, segmentation, and pose estimation
    • Join a research group or lab of Computer Vision
    • Collaborate with startups working in the field of computer vision to develop real-world applications.
  • šŸ¤” Iā€™m looking for help with ...
    • Participate in open source projects related to computer vision, such as OpenCV, TensorFlow, and PyTorch.
    • Implementing GANs for image synthesis.
  • šŸ’¬ Ask me about ... Neural Network, Computer Vision.
  • šŸ“« How to reach me: Email or LinkedIn
  • šŸ˜„ Pronouns: He/Him
  • āš” Fun fact: I love to play chess and read books in my free time.
  • Any 2-D signal can be interpreted as an image. ||Change my mind||.

Projects

Project 1: Computer Vision Projects

A machine learning and Deep Learning model to solve Computer Viison Problems. Different types of Neural Net Architectures are implemented here.

View on GitHub

Project 2: Digital Signal Processing

An in-depth analysis of in the field of Digital Signal Processing, Design and Implementation of different types of filters.

View on GitHub

Project 3: Movie Recommendation System

A recommendation system for movie suggestions based on user preferences.

View on GitHub

Connect with me

Let's create something amazing together! šŸš€

Shayan Kumar's Projects

applied_data_science_lab icon applied_data_science_lab

Here, I described the work done during my internship provided by "Applied Data Scienec Lab" World Quant University.

credit-card-fraud-detection-ml-cloud icon credit-card-fraud-detection-ml-cloud

This Repo explains the concepts of EDA (as performing several transformations, OverSampling, UnderSampling) and Visualizations and different ML modelling paradigms.

customer-segmentation-analysis icon customer-segmentation-analysis

This repository contains a comprehensive analysis of customer segmentation using K-Means, DBSCAN, and Mean-Shift algorithms to unveil distinct customer segments based on key features. It provide valuable insights for targeted marketing strategies and enhanced customer engagement.

datascience_pw icon datascience_pw

Masters in Data Science, all concepts are discussed here to be a master in Data Science and ML.

deep-learning-specialization-coursera icon deep-learning-specialization-coursera

This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.

dsa_leetcode icon dsa_leetcode

This repository contains solution of the problems provided by LeetCode to prepare for DSA.

generative-ai-for-beginners icon generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI šŸ”— https://microsoft.github.io/generative-ai-for-beginners/

movie-recommender-system icon movie-recommender-system

Performed Data preprocessing, vectorized features using TF-IDF and Count Vectorizer and predicted similar movies based on CosineSimilarity score.

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