Saad Saeed is a Senior Data Scientist with 11 years of technical experience and three years focused on B2B roofing distribution, where he transforms customer and product data into AI-driven products and automation at SRS Distribution Inc. He thrives at the intersection of analytics, engineering, and business—delivering practical ML solutions, generative AI features, and stakeholder-ready dashboards that improve customer experience and product strategy. Saad’s background in mechanical and control systems engineering gives him a rare systems-thinking lens for productionizing models and designing reliable data workflows. He has hands-on experience in industrial automation and PLC/HMI systems, which informs his pragmatic approach to automation and operational analytics. Continuously learning emerging tools from his Flatiron School data science training, he enjoys tackling ambiguous problems and turning prototypes into measurable business impact. Based in Frisco, Texas, Saad blends field-tested engineering discipline with modern ML and GenAI to move distribution technology forward.
10 years of coding experience
3 years of employment as a software developer
Master of Engineering (M.Eng.) Mechanical Engineering, Master of Engineering (M.Eng.) Mechanical Engineering at The University of Texas at Arlington
Full Time Data Science Specialization Computer and Information Sciences and Support Services, Full Time Data Science Specialization Computer and Information Sciences and Support Services at Flatiron School
Bachelor of Engineering (B.E.) Mechanical Engineering, Bachelor of Engineering (B.E.) Mechanical Engineering at University of Mumbai
Build an NLP model to analyze Twitter sentiment about Apple and Google products
Contributions:63 commits, 35 PRs, 46 pushes in 6 days
nlpsentimentsentiment-analysistwitteranalyze
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