Abdul Hayee

Leading the design and implementation of machine learning models across AI projects to drive innovation and impact. Developed CNNs for image categorization and object recognition in logistics, reducing error and labor by 95%. Applied CNNs for page-flip detection to aid visually impaired individuals. Built NLP pipelines for HR talent identification and ranking. Engineered a machine learning product to predict customer subscription to term deposit loans, reducing outreach calls by 65%. Built customer satisfaction prediction models improving insights by 30% and reducing churn.

Leading design and implementation of machine learning models for AI projects, driving innovation and impact. Leveraged CNNs for image categorization reducing error and labor effort by 95%; developed NLP pipelines for HR talent identification and ranking; designed predictive machine learning products for customer subscription and satisfaction with improvements in efficiency and accuracy; built models for customer satisfaction prediction enhancing insight accuracy by 30%.

Leading the design and implementation of machine learning models across AI projects, driving innovation and impact. Leveraged Convolutional Neural Networks (CNNs) for image categorization and object recognition in logistics, reducing error and labor effort by 95%. Developed NLP-powered pipelines for HR teams to identify and rank top talent, designed machine learning products to predict customer subscription to term deposit loans reducing manual effort by 65%, and built models to predict customer satisfaction improving insight accuracy by 30%.