Amit Baroi is a data scientist and analyst with eight years of experience applying rigorous data validation and quality assurance across environmental science, oceanography, applied AI, and healthcare-adjacent research. He repeatedly turns messy, heterogeneous datasets into well-documented, production-ready analytical inputs, having led validation workflows and mentored interns at organizations like DeepSense and the University of Michigan. His background blends field-focused ecological research and substance-flow analysis with hands-on computer vision and AI pipeline work, including building seafloor image datasets for deep learning. Based in Montreal, Amit is known for operationalizing reproducible data practices and translating domain complexity into auditable outputs—often uncovering hidden biases or metadata gaps that improve downstream model reliability.
7 years of coding experience
6 years of employment as a software developer
B.Sc. (Honours), Environmental Science, B.Sc. (Honours), Environmental Science at North South University
Master's, Resource & Environmental Management, Master's, Resource & Environmental Management at Dalhousie University
Learning to build a basic web application using Flask and PostgreSQL
Contributions:30 pushes, 1 branch in 4 years 5 months
pythonsqlalchemyflaskweb-applicationpostgresql
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