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Jay Kachhadia
Data Scientist @ Paramount+ / ViacomCBS - Data Science Blogger (100K+ views) - SU🍊 - NIT
Jay Kachhadia is a Data Scientist at ViacomCBS Streaming, where he leverages his expertise in statistics, data science, machine learning, and software development to create cutting-edge data products. With a background that includes roles at prominent organizations like CBS Interactive and the Indian Institute for Human Settlements, Jay has a proven track record of working on impactful projects. His experience ranges from building anomaly detection systems to developing recommendation engines for streaming platforms. Jay's educational background includes a Master of Science in Data Science from Syracuse University and a Bachelor of Technology in Computer Engineering from the National Institute of Technology Surat. When not immersed in data, Jay enjoys traveling, skateboarding, listening to rock music, and contributing as a writer on Towards Data Science on Medium.
Highlights
Well, this was no ordinary weekend for me because of 2 amazing things. 𝟏. Last year, I went to MakeHarvard at Harvard University as a participant but this year I was invited on the other side of the table as a judge. It was amazing to see how MakeHarvard team put together a great make-a-thon completely virtual and it was even more awesome to see people from different places building things collaborating virtually - a perfect example of why tech companies are loving the work from home model. 𝟐. I had an interview with Dhaval Patel from codebasics on his YouTube channel on my MS in Data Science journey and know-hows of finding a Data Science job in the states. This was my first-time doing a collaboration on YouTube and it was a great experience. Thanks to Dhaval Patel for having me and do check out his YouTube channel codebasics where he teaches programming.
Keep Hustling!
#DataScience #MakeHarvard #YouTube #MSinDataScience
Hello Linkedin Fam!
Here comes the third part of the Data Science in Production blog series. This series is aimed at reducing the talent gap prevalent in the Data Science Industry and this part is about building data/ML pipelines with Apache Airflow. Airflow is an open-source job orchestration tool built at Airbnb widely used in the industry. We used Airflow to power data and machine learning pipelines in the 'illuminating project' on the elections 2020 ad campaigns while I was back in school. you can check out illuminating here: https://lnkd.in/eudsYvu
Serving ML models via APIs with Flask(Part 1): https://lnkd.in/eGdtsZZ Building UI for your ML projects with DASH(part 2): https://lnkd.in/eutpb9y
The 3rd part on building data/ML pipelines in Apache Airflow is published in Towards Data Science and can be found here: https://lnkd.in/eHNPSrg
#DataScience #DataEngineering #ML #DataScienceinProduction
