Summary
Muhammad Tariq is an Operations Engineer and Data Scientist with eight years of hands-on experience building data pipelines, deploying ML models, and automating cloud-native operations across startups and research organizations. Based in Chicago, he has delivered measurable impact—scraping and processing 10k+ e-commerce data points, boosting NLP and anomaly-detection performance by 75%, and raising QA extraction accuracy above 80%. He blends DevOps fluency (Docker Swarm, GitHub, CI/CD) with applied ML expertise from projects like heart-disease prediction and diabetes forecasting, routinely moving models from prototype to production. Comfortable across the stack, he has improved system efficiency through automation and processed terabyte-scale datasets while maintaining data quality. A detail-oriented collaborator with certifications in Python and pandas, he pairs strong troubleshooting experience from enterprise IT support with a taste for practical research-driven solutions. Notably, his background spans both academic data science training and field-tested operational engineering, allowing him to bridge model development and reliable deployment.
8 years of coding experience
3 years of employment as a software developer
Master of Applied Science - M.A.S, Data Science, Master of Applied Science - M.A.S, Data Science at Illinois Institute of Technology
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Bahria University
English, Urdu, Punjabi