Personal

It’s a work in progress. Here is what I do know about me, but please let me know if you know more!

  • Stereotypical geek; fanboy of comics, animes, mangas and fantasy novels.
  • Voracious reader. Suggest me a book; I’ll read it in a couple of days and start judging you for recommending it to me for the rest of our lives.
  • I’m not good at dancing, but play the music and I’ll dance nevertheless, unless my family members are around.
  • I’d like to say swimming and horse riding - yes; I’d very much want to say that. Oh and skiing!
  • I’ve been working in the domain of Data Science, Cloud, Big Data, Machine learning and signal processing for the past eight years.
  • Love mathematics and teaching

Professional

I am a seasoned Data Scientist and Machine Learning engineer with an excellent understanding and experience in Data warehousing, Cloud Architecture, Data Engineering and security. Broadly, I’ve expertise in the following four areas:

  • Statistics and Machine Learning including Model Building, Linear/Nonlinear Regression, Prediction, Hypothesis Testing, Classification, Clustering, Deep Learning (CNN, RNN, LSTM), Natural Language Processing and Data Visualization.

  • Data Engineering with big datasets, including relational database management, noSQL paradigms, lambda architecture, Hadoop ecosystem, Spark and data warehousing~(Google Cloud Certified Professional - Data Engineer).

  • Cloud Architecture including design, development, provisioning and management of robust, secure, scalable, highly available, and dynamic solutions on cloud~(Google Cloud Certified Professional- Cloud Architect; AWS Certified Solutions Architect-Associate).
  • Trainings and Management where I’ve led, managed and coached machine learning and data science teams through workshops, lectures, presentations, blogging and mentor sessions.

If you are interested in my research publications, please visit my Google Scholar’s page.