Jaynish Shah is a data engineer with nine years of technology experience and a current master's candidate in Data Science at Johns Hopkins University. He has progressed from software engineering roles at Infosys to analytics and data engineering positions at Itential, blending production-grade engineering with applied analytics. Skilled in machine learning, data visualization, and data analytics, he focuses on turning complex data into actionable insights and scalable pipelines. Based in New Jersey, he brings practical experience across the full data lifecycle and a demonstrated ability to teach and mentor—dating back to early STEM outreach building LEGO Mindstorms robots for children.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Massachusetts Amherst
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Johns Hopkins Whiting School of Engineering
The repo will contains code from all Kaggle Competitions
Contributions:16 PRs, 51 pushes, 8 branches in 11 months
kagglepythonmachine-learningdata-science
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