Adam Ramadan
About Adam Ramadan
Adam Ramadan is a Machine Learning Engineer with extensive experience in data science and machine learning across various industries. He has held positions at companies such as Liftoff Mobile, Amazon, and Citi, and has a strong academic background in Electrical Engineering and Physics from Binghamton University.
Work at Liftoff Mobile
Adam Ramadan currently serves as a Machine Learning Engineer at Liftoff Mobile, a position he has held since 2024. In this role, he focuses on developing and deploying scalable, robust, and personalized recommendation systems specifically tailored for the advertising sector. His work contributes to enhancing user engagement and optimizing advertising strategies through advanced machine learning techniques.
Previous Experience at Point Pickup
Adam Ramadan worked at Point Pickup as the Director of Data Science & Machine Learning for a period of six months in 2021. He later advanced to the role of Senior Director of Data Science & Machine Learning, where he led initiatives aimed at delivering data-driven insights and products tailored for the last-mile delivery industry. His leadership in these roles was pivotal in enhancing operational efficiency and data utilization.
Experience at Amazon
From 2022 to 2024, Adam Ramadan was employed as a Machine Learning Engineer at Amazon in New York. During his time at Amazon, he applied his machine learning expertise to various projects, contributing to the company's data-driven decision-making processes and enhancing product recommendations.
Educational Background
Adam Ramadan holds a Master of Science (MS) degree in Electrical Engineering from Binghamton University, which he completed from 2016 to 2017. He also earned a Bachelor of Science (BS) degree in Physics from the same institution, graduating in 2016. His educational background provides a strong foundation in technical principles and analytical skills relevant to his career in machine learning.
Technical Skills and Certifications
Adam Ramadan possesses a robust skill set in machine learning, statistics, and optimization, which he has applied across various domains, including fraud detection, customer segmentation, and risk management during his tenure at Citi. He also developed and implemented machine learning and signal processing algorithms for cyber defense at Northeast Information Discovery, Inc. Additionally, he holds AWS certifications that enhance his capabilities as a Machine Learning Engineer.