Mohamed Imran is an Associate Data Scientist with 8 years of experience applying machine learning, deep learning, and computer vision to operational problems in the oil & energy sector. At Shell he developed credit-scoring models to reduce direct debit rejections, built OCR and invoice extraction pipelines that replaced manual processing, and prototyped face detection solutions using OpenCV and pre-trained models. Previously he delivered demand forecasting, price-elasticity modeling, and market-basket analytics for large retail datasets, and has strong hands-on experience with Python, R, SQL, Azure, and BI tooling. Comfortable bridging analytics and production, he has a background in DWBI and automation from Cognizant that sharpens his focus on scalable, cost-saving solutions. Based in Chennai with a Computer Science degree from Anna University, he blends practical ML engineering with domain-savvy business impact.
Contributions:80 commits, 2 PRs, 69 pushes in 1 month
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