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Name: Piyush Mahajan

Type: User

Bio: I am Data scientist, ML engineer and Mechanical engineer 🛠 and want to be AI engineer. Always ready to learn new things 📚 and want to be called as 'Creator'

Location: Surat, Gujarat, India

Piyush Mahajan

Hi, I'm Piyush mahajan - a Data scientist 📈📊, ML engineer 💻 and Mechanical Engineer ⚙ . I'm a fresher looking for opportunity to utilize my knowledge in AI And ML field for the growth of company and myself.

  • I want to be a AI engineer and become a expert in this field because i don't like to be average person.
  • I like learning new thing whether it is related to Computer field or Mechanical field. because i believe that if i combine these field then it will create interesting results 💥
  • I love to create new things, design new things, work on the challenging project.

I am good in:

  • Python 🐍.
  • Data analysis.
  • Building ML-DL models.
  • Designing (Mechanical) 🛠.
  • Research 🚀.
  • Mathematics.
  • Calculations
  • Learning

Libraries I have used:

  1. Sklearn.
  2. Pandas
  3. Matplotlib
  4. Seaborn
  5. Plotly
  6. Numpy and Scipy
  7. TensorFlow
  8. Pytorch
  9. NLTK, Spacy and Gensim
  10. Statsmodels
  11. imblearn And others related to that project

Software i used (Not related to Data Science field):

  1. Fusion 360
  2. Inventor
  3. Ansys
  4. Eagle
  5. Autocad
  6. Catia

The fields makes me more curious and Restless (or i am interested in) 😅:

  1. Robotics.
  2. AI
  3. Aerospace and Defence.
  4. Neurology and Genetics.

Piyush Mahajan's Projects

2021-better-working-world-data-challenge icon 2021-better-working-world-data-challenge

This github repository has been created for participants in the Better Working World Data Challenge. It contains code and documentation used to set up and manage an analysis environment for completing the Challenge. Please use the Discussions tab for any questions, or to have friendly discussions with other participants in the challenge!

capsule_net_pytorch icon capsule_net_pytorch

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

deep-reinforcement-stock-trading icon deep-reinforcement-stock-trading

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

m4-methods icon m4-methods

Data, Benchmarks, and methods submitted to the M4 forecasting competition

m5-methods icon m5-methods

Data, Benchmarks, and methods submitted to the M5 forecasting competition

marl-papers icon marl-papers

Paper list of multi-agent reinforcement learning (MARL)

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