Summary
Mohammad Alsukhon is an AI Technical Lead based in Michigan with 10 years of experience applying machine learning, NLP, and data engineering to solve business problems across healthcare and staffing industries. He blends hands-on model development (feature engineering, supervised classification, NLU/NLP, GenAI) with production data workflows using BigQuery, GCP cron jobs, Jenkins and Docker to keep mission-critical pipelines reliable. At Randstad he built a Python library to extract and analyze chatbot conversations and deployed monitoring and reporting that stakeholders relied on daily, and at Blue Cross Blue Shield he cut manual data collection time by 85% through automation. Comfortable from exploratory analysis to deployment, he leverages tools like Scikit-Learn, H2O, NLTK, Rasa and SQL while maintaining reproducible code and CI practices. Collected academic grounding in business economics and an MBA in Business Analytics gives him a pragmatic edge: he frames models around measurable business outcomes rather than pure experimentation.
9 years of coding experience
4 years of employment as a software developer
Online Flex Bootcamp, Data Science and Machine Learning, Online Flex Bootcamp, Data Science and Machine Learning at Thinkful
Master of Business Administration (M.B.A.), Business Analytics, Master of Business Administration (M.B.A.), Business Analytics at Eastern Michigan University
Bachelor's Degree, Business Economics, Bachelor's Degree, Business Economics at University of Jordan
Italian, French, Arabic, English