Amandeep Jiddewar
About Amandeep Jiddewar
Amandeep Jiddewar is a Machine Learning Engineer currently employed at QuinStreet, with a background in software engineering and data science. He has developed machine learning applications and strategies, and holds a Master's degree in Business Analytics from Emory University.
Current Role at QuinStreet
Amandeep Jiddewar serves as a Machine Learning Engineer at QuinStreet, a position he has held since 2022. In this role, he focuses on developing and implementing machine learning models to enhance the company's data-driven decision-making processes. His expertise in algorithms and optimization techniques contributes to QuinStreet's initiatives in improving operational efficiency and effectiveness.
Previous Experience at CertainTeed
Prior to his current role, Amandeep worked as a Data Scientist and Machine Learning professional at CertainTeed from 2019 to 2022. In this capacity, he applied machine learning techniques to analyze data and derive insights that supported business objectives. His work involved leveraging statistical methods to inform product development and marketing strategies.
Professional Background at eQ Technologic
Amandeep has extensive experience at eQ Technologic, where he held multiple positions from 2011 to 2018. His roles included Senior Software Engineer in Data Profiling, Business Intelligence, and Security and Authentication. During his tenure, he contributed to various projects, including data profiling and security measures, enhancing the company's software solutions.
Education and Expertise
Amandeep Jiddewar holds a Master's degree in Business Analytics from Emory University - Goizueta Business School, which he completed in 2019. He also earned a Bachelor of Engineering in Information Technology from Pune Institute of Computer Technology, graduating in 2011. His educational background in science and technology underpins his expertise in machine learning and data analysis.
Projects and Innovations
Amandeep has developed significant projects, including a simulator for publisher-advertiser exchange listings utilizing machine learning and Python. He also created a leads auction bidding strategy aimed at increasing win rates through effective algorithmic approaches. His engagement in margin optimization projects further demonstrates his capability in applying machine learning to solve complex business challenges.