tirthajyoti / algorithm-data-structures-python

Various useful data structures in Python

Welcome 👋

Hello! This is Tirtha. I am an explorer.

• My LinkedIn profile
• My Medium articles on Data Science and Machine Learning
• My KDNuggets articles

Work

I am working as VP, AI/ML, at Rhombus Power Inc., where I am building exciting and critically important solutions with AI, Data, and Math.

Before this, I was 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.

Even before that, I was a Sr. Principal Engineer developing power semiconductor technologies and applying AI/ML for semiconductor product/tech deveklopment at ON Semiconductor, also known as onsemi.

At its core, I translate customer business problems into data-driven problems and help build solutions.

Currently...

• 🔭 Writing a book with Apress/Springer on the topic of "Productive and Efficient Data Science". You can pre-order the book here.

• 🔭 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.

Skills

Open-source

My open-source projects span 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

Currently, in the organizing committee 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).