Hello! This is Tirtha. I am an adventurer.
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.
Books, lectures, articles
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.
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
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).