Rayhan Ferdous is an experienced machine learning and data science professional currently serving as a Machine Learning (R&D) Engineer at Tiger Analytics since March 2022, specializing in full stack ML AI research and engineering. Previously, at Preteckt, Rayhan focused on vehicle prognostics data analytics and model development, and at LotLinx, Inc., contributed to full stack machine learning development for automotive sales and marketing. Rayhan's academic background includes a Master of Science in Computer Science from the University of Saskatchewan, where roles included Research Engineer in software architecture and big data pipeline design, as well as a Teaching Assistant for various computer science courses. Early career experience includes leading a team as Lead Data Scientist at Method Data Science and collaborating as a Data Scientist on projects and competitions.
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