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Creating ideas
🎯
Creating ideas

Highlights

  • Arctic Code Vault Contributor
tirthajyoti/README.md

Hi there 👋

Hello! This is Tirtha. I am an adventurer.

Currently...

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

  • 🌱 I’m currently learning: JavaScript, D3.js, Node, Hadoop-related techs, Spark, and how to make ML-apps.

  • 👯 I’m looking to collaborate on: Data science/ML books. Probably will use Jupyter Books. Anyone interested?

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

    Jupyter Notebook 1.6k 1.1k

  2. Deep learning codes and projects using Python

    Jupyter Notebook 167 119

  3. Building simple ML apps with Streamlit

    Python 7 5

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

    1.1k 459

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

    821 370

  6. Data science and numerical computing with Julia

    Jupyter Notebook 45 10

573 contributions in the last year

Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Mon Wed Fri

Contribution activity

November 2020

tirthajyoti has no activity yet for this period.

October 2020

24 contributions in private repositories Oct 8 – Oct 30

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