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Welcome 👋

Hello! This is Tirtha. I am an adventurer.


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

For the visually inclined, here is where I am putting my data science skills to use...



  • 🔭 I’m currently working on: lectures/workshops, courses, and spreading knowledge on machine learning/statistical modeling. In particular, I serving as the Track Chair of "AI Optimization" track for the ValleyML AI Expo 2021. Also, I am developing course content for the ValleyML Fellowship program.

  • 🌱 I’m currently learning: ML flow management tools, Ray serve and distributed computing, and how AI/ML applies to the various aspects of the Industrial IoT sector.

  • 👯 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.



Anurag's github stats

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

Top Langs

Contribution to the technical community

Currently, in the organizing committe of ValleyML AI Expo 2021.

I served 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).


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

    Jupyter Notebook 2.1k 1.3k

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

    Jupyter Notebook 120 37

  3. Deep learning codes and projects using Python

    Jupyter Notebook 243 180

  4. Building simple ML apps with Streamlit

    Python 18 11

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

    1.6k 579

  6. Carefully curated resource links for data science in one place

    1.5k 627

266 contributions in the last year

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Activity overview

Contribution activity

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