As a data scientist working in operations and automation, my work involves optimizing production and automation using a data-driven approach.
Previous roles have included data scientist for employee tenure prediction at Arena Analytics and instructional associate for the data science course of General Assembly.
After a master's in theoretical physics (with a thesis on holographic quantum phase transitions), I researched the dynamics of entanglement and energy transfer in quantum systems after a quantum quench.
Apart from academic conferences, I have spoken at or been invited to speak at several other conferences, including: PyGotham 2019 (upcoming), Afternoon of Data (upcoming), PyData Amsterdam 2019, Predictive Analytics World Munich 2019, AnacondaCon 2019, GHC 2018
I have given both talks and tutorials, on topics varying from physics and mathematics during my academic years and statistics, machine learning, quantum computing and discrete optimization more recently.
Monday 2:05 PM–2:50 PM in Central Park West (6501)
