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Hi! My name is Kalanand Mishra. I am a data scientist in silicon valley.
From the childhood I have been very interested in how the nature works at the most fundamental level. Hence my fascination with evidence-based science and data analytics.
While in graduate school, I investigated the nature of the subatomic world at Stanford Linear Accelerator Center. In particular, I performed measurements of matter-antimatter asymmetry. My results, published in Physical Review during 2006−2009, confirmed a ground-breaking idea that led to Nobel prize for Kobayashi & Maskawa.
I defended my Ph.D. thesis in 2008 and took up postdoctoral position at
Fermilab to work at CERN's Large Hadron Collider. There I led a team effort which, in collaboration with others, culminated in the
Higgs boson discovery and Nobel prize for Higgs & Englert in 2013.
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After the emergence of Big Data as a transformative force I moved to the tech industry, where
I brought AI-driven innovation in the fields of cybersecurity, finance, healthcare, and aviation.
I use Machine Learning and advanced statistical techniques
to solve a wide variety of real-life problems.
If you are interested in Data Science & AI, please check out my book Heard In Data Science Interviews.
In my free time I like hiking, backpacking, traveling, and volunteering.
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