Hello! This is Tirtha. I am an explorer.

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

I am working asVP, AI/ML, atRhombus Power Inc., where I am building exciting and critically important solutions with AI, Data, and Math.

Before this, I was aData Science and Solutions Engineering Manager atAdapdix Corp, putting the power of AI/ML on the Edge forIndustry 4.0 and next-generationSmart Factory.

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

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

• 🔭 Writing a book withApress/Springer on the topic of"Productive and Efficient Data Science". You canpre-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 theTrack Chair of "AI Optimization" track for theValleyML AI Expo 2021. Also, I am developing course content for theValleyML 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 useJupyter Books andLeanpub platform

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

I also teachIEEE/ACM workshops on data science/ machine learning.

My first data science related bookData 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 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

Currently, in the organizing committee ofValleyML AI Expo 2021.

I served on the Technical Content Committee for theOpen Data Science Conference (ODSC) West, 2020.

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

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

PinnedLoading

1. Machine-Learning-with-PythonMachine-Learning-with-PythonPublic

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

   Jupyter Notebook 3.2k 1.8k

2. Papers-Literature-ML-DL-RL-AIPapers-Literature-ML-DL-RL-AIPublic

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

   2.6k 752

3. Data-science-best-resourcesData-science-best-resourcesPublic

   Carefully curated resource links for data science in one place

   3k 1k

4. Stats-Maths-with-PythonStats-Maths-with-PythonPublic

   General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

   Jupyter Notebook 912 378

5. Deep-learning-with-PythonDeep-learning-with-PythonPublic

   Deep learning codes and projects using Python

   Jupyter Notebook 353 212

6. Optimization-PythonOptimization-PythonPublic

   General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python

   Jupyter Notebook 228 142