Akash Dubey is a Senior Data Scientist with 8 years of experience applying machine learning and AI to drive business impact across retail and analytics organizations, currently at Target after senior roles at Lowe’s and Fractal Analytics. He combines strong theoretical math interests with practical engineering—holding an MS in Computer Science from UT Austin—and is known for inventing pragmatic solutions to complex, mass-impact problems. Akash writes about data science topics and has contributed thought leadership as an author for Towards Data Science, reflecting a blend of research curiosity and communication skill. Comfortable taking models from research to production at scale, he excels at turning abstract algorithms into measurable outcomes for customers and operations.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at The University of Texas at Austin
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Giani Zail Singh College of Engineering & Technology, Bathinda
+2 Level Mathematics and Computer Science, +2 Level Mathematics and Computer Science at BSF Senior Secondary Residential School, Kadamtala
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