Nadine Hafiri
About Nadine Hafiri
Nadine Hafiri is a Senior Machine Learning Engineer with extensive experience in the field, currently working at Kinaxis since 2020. She previously held roles at IBM and Intel Corporation, and she holds a Master's degree in Information Systems Management from Carnegie Mellon University.
Work at Kinaxis
Nadine Hafiri has been employed at Kinaxis since 2020, serving as a Senior Machine Learning Engineer. In this role, she focuses on developing and implementing machine learning solutions to enhance supply chain operations. Prior to her current position, she worked at Kinaxis as a Machine Learning Engineer for Rubikloud, which was acquired by Kinaxis, from 2019 to 2020. Her experience at Kinaxis highlights her expertise in applying advanced analytics within the supply chain domain.
Previous Experience at IBM
Nadine Hafiri worked at IBM in two capacities. She served as a Senior Consultant and Data Scientist in the Healthcare and Life Sciences sector from 2018 to 2019. Additionally, she held the position of Senior Analytics Consultant Intern at IBM Watson Health for two months in 2017. Her roles at IBM involved leveraging data analytics to drive insights and solutions in healthcare.
Background in Software Engineering
Before her tenure at IBM, Nadine Hafiri worked as a Software Engineer at Intel Corporation from 2014 to 2016 in Jerusalem. This position provided her with foundational experience in software development and engineering principles. Her background in software engineering complements her later work in machine learning and data analytics.
Education and Expertise
Nadine Hafiri holds a Bachelor of Information Technology from Birzeit University, where she studied Computer Systems Engineering from 2010 to 2014. She furthered her education at Carnegie Mellon University - H. John Heinz III College, earning a Master's degree in Information Systems Management with a concentration in Business Intelligence and Data Analytics from 2016 to 2017. Her academic background supports her expertise in machine learning and data analytics.