Summary
Arman Alam is a data analyst with nine years of quantitative experience who currently applies statistical rigour to worker safety and compensation analytics at the WSCC in Yellowknife. He brings advanced training from McMaster and Université de Montréal, including graduate work in statistics and biostatistics and PhD studies at McGill, blending academic depth with practical energy and project analytics experience. Prior roles as a project energy analyst and graduate instructor underline his ability to translate complex models into actionable recommendations and clear stakeholder communication. Comfortable with large, multidisciplinary datasets, he has moved between academia and applied industry settings, delivering insights that inform policy and operational decisions. Based in northern Canada, he combines a strong mathematical foundation from IIT Kanpur with international study experience in Italy, an uncommon global perspective for regional public-sector analytics. Colleagues would note his knack for turning rigorous methodology into pragmatic solutions for safety and efficiency challenges.
9 years of coding experience
Master's degree, Statistics, 12/12, Master's degree, Statistics, 12/12 at McMaster University
Metropolitan School
Indian Institute of Technology Kanpur
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at McGill University
Master's degree, Biostatistics, Master's degree, Biostatistics at Université de Montréal
Statistics, Statistics at Università degli Studi di Milano-Bicocca