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tirthajyoti/README.md

Hi there 👋

Hello! This is Tirtha. I am an adventurer.

Work

I am a Data Science Engineering Manager at Adapdix Corp, putting the power of AI/ML on the Edge for Industry 4.0 and next-generation Smart Factory.

Currently...

  • 🔭 I’m currently working on: lectures/workshops, courses, and spreading knowledge on machine learning/statistical modeling.

  • 🌱 I’m currently learning: ML flow management tools, and how AI/ML applies to Industrial IoT.

  • 👯 I’m looking to collaborate on: Data science/ML books. Probably will use Jupyter Books and Leanpub platform

Books, lectures, articles

I publish highly-cited articles regularly on data science and machine learning topics, on leading platforms such Towards Data Science, KDNuggets, and Analytics Vidya.

I also teach IEEE/ACM workshops on data science/ machine learning.

My first data science related book Data wrangling with Python was published on February, 2019. In future, I wish to self-publish a second book about Hands-on mathematics/statistics for data scientists.

Open-source

My open-source projects spans the topics of,

  • general data analytics,
  • machine learning,
  • deep learning,
  • computer vision and image processing,
  • math and statistics,
  • synthetic data generation, etc.

I have published multiple Python packages related to data analytics and statistical modeling. See this page for my projects

Contribution to the technical community

I am serving on the Technical Content Committee for the Open Data Science Conference (ODSC) West, 2020.

In 2015, I was elevated to the grade of Senior Member of IEEE for my contributions towards power electronics. I have authored/co-authored more than 25 peer-reviewed Transaction and Conference papers, 2 monographs/book chapters, and 4 U.S. Patents. Here is my Google Scholar Page.

I also serve on the technical program committee as Track/Topic chair in numerous IEEE conferences. I am the co-chair of the Semiconductor Committee of Power Supply Manufacturers' Association (PSMA).

Pinned

  1. Machine-Learning-with-Python

    Practice and tutorial-style notebooks covering wide variety of machine learning techniques

    Jupyter Notebook 1.8k 1.2k

  2. DS-with-PySimpleGUI

    Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

    Jupyter Notebook 92 21

  3. Deep-learning-with-Python

    Deep learning codes and projects using Python

    Jupyter Notebook 195 149

  4. ML-apps-with-Streamlit

    Building simple ML apps with Streamlit

    Python 14 8

  5. Papers-Literature-ML-DL-RL-AI

    Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

    1.3k 527

  6. Data-science-best-resources

    Carefully curated resource links for data science in one place

    1.1k 475

452 contributions in the last year

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Contribution activity

March 2021

Created 2 commits in 1 repository
Reviewed 1 pull request in 1 repository
tirthajyoti/Data-science-best-resources 1 pull request

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