Anil Simon is a data scientist based in Chicago with 11 years of cross-disciplinary experience spanning product development, mechanical engineering design, and applied data science for intellectual property and healthcare analytics. He has built end-to-end prototypes and production tooling—ranging from patent and text analytics web apps to online SGD models and SQL-driven aggregation pipelines—at companies including Grubhub and Dolcera. His background in mechanical design and product configurators gives him a practical systems mindset when shaping data models and automation workflows. Comfortable with full-stack prototyping, NLP, and both SQL and NoSQL architectures, he focuses on turning messy, normalized data into actionable analytics for operations and finance. Colleagues rely on him to bridge domain knowledge and technical implementation, often automating manual processes into repeatable data-driven systems.
11 years of coding experience
6 years of employment as a software developer
Master of Data Science, Mathematics and Computer Science, Master of Data Science, Mathematics and Computer Science at Illinois Institute of Technology
Good Shepherd Public School & Jr. College, Chaganacherry
Indian School Salalah
MBA (PGPM), Operations & IT, MBA (PGPM), Operations & IT at Great Lakes Institute of Management
Bachelor of Tecnology, Mechanical Engineering, Bachelor of Tecnology, Mechanical Engineering at University of Kerala
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