Nishan Mann is a Senior Manager in Data Science & Research with a decade of experience translating advanced mathematics and physics into production-scale ML systems that drive business impact. He has led end-to-end pipelines—research, deployment, monitoring and stakeholder communication—across identity resolution and behavioral models, scaling solutions to billions of rows and shrinking vendor evaluation cycles from weeks to days. Comfortable switching between hands-on modelling (graph methods, MCMC-inspired training data, constrained logistic regression) and strategic roadmapping, he bridges product, engineering and data teams to deliver measurable revenue and accuracy gains. His PhD in Physics and early research on nonlinear waveguides inform a methodical, simulation-minded approach to messy real-world data, and he deliberately blends top-down planning with bottom-up team autonomy inspired by self-organizing systems. Based in New York, he balances technical leadership with mentoring and a knack for turning complex analytics into clear business narratives.
10 years of coding experience
13 years of employment as a software developer
Master's degree MathMods: Mathematical Modelling in Engineering: Numerics, Master's degree MathMods: Mathematical Modelling in Engineering: Numerics at Université Côte d'Azur
Master's degree MathMods: Mathematical Modelling in Engineering: Applications, Master's degree MathMods: Mathematical Modelling in Engineering: Applications at Gdańsk University of Technology
Bachelor of Science (B.Sc.) Engineering Physics/Applied Physics, Bachelor of Science (B.Sc.) Engineering Physics/Applied Physics at University of Toronto
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at Queen's University
Master's degree MathMods: Mathematical Modelling in Engineering: Theory, Master's degree MathMods: Mathematical Modelling in Engineering: Theory at Università degli Studi dell'Aquila
Contributions:18 pushes, 1 branch in 6 years 8 months
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Nishan Mann - Senior Manager, Data Science & Research