The Data Analytics Engineering program enables students to address the growing need for professionals who can transform large streams of data into understandable and actionable information. Students also acquire the analytical skills and research experience necessary for a doctoral program.
Learn from Industry Experts
The many Northeastern professors and lecturers who teach in the Data Analytics Engineering program represent some of the top experts in their field. Plus, a lot of our faculty hold influential positions and working relationships in some of the leading tech companies in and around the Northeastern campus regions and throughout the world.
Featured Faculty: Seattle Campus
Jie has a doctoral degree in industrial and systems engineering from Virginia Polytechnic Institute and State University. Her research focusses on stochastic optimization and machine learning for different application problems. As a teaching faculty in data analytics engineering, she teaches courses in machine learning, operations research, and statistics. She also would like to mentor students and explore collaborations with faculty members on research problems in these areas.
April joined Northeastern University in Seattle in September 2018 as a part-time lecturer. She has 15+ years of web development and design experience for commercial clients, with proven experience in all phases of site development: client contact, information architecture, UI design, graphics production, testing cycle, deployment, continuing site maintenance.
April received her BS in Scientific and Technical Communications from Michigan Technological University in 1998. Throughout her extensive career, she has worked as a web designer, frontend developer, and user experience developer for companies like Zillow, Pulse Communications, and Wetpaint. She has been working as a Frontend Developer at Uplevel since 2019.
Yahav Biran, PhD
Dr. Biran is a software/integration engineer, professional service manager and product manager with over 11 years of innovation in diverse environments including military, private and public, startup and large companies with a track record of designing, architecting, building and managing teams that created award-winning products. Dr. Biran joined Northeastern University as a part-time lecturer in February 2018.
Dr. Biran earned his PhD in Systems Engineering from Colorado State University in 2017. His research areas include large-scale (HPC) and multi-core scientific computing, computational optimization, web-based decision support systems, integrated design systems, distributed networks, and multi-agent systems.
Siva studied at Jawaharlal Nehru Technological University and now has 20+ years of experience in software development/design and leadership in automotive digital marketing, product life cycle management, banking, human resources, and payroll applications. Siva has been lecturing with Northeastern in Seattle since 2015, on the topics of application engineering and object-oriented programming. Siva is currently the Director of Engineering at Indeed.com, where he drives transformational changes in software quality and operational engineering effectiveness.
Ramkumar Hariharan, PhD
Dr. Hariharan currently works as Head of Applied Artificial Intelligence at macro-eyes, where he also has experience as a Lead Data Scientist. Dr. Hariharan joined Northeastern University in 2018, where he leads courses in data science. Dr. Hariharan completed his PhD at the University of Kerala before going onto Post Doctorate studies at the University of Washington in 2014. Dr. Hariharan also has experience as a Research Scientist at the Instituted for Systems Biology and a Senior Data Scientist at Fred Hutch. Dr. Hariharan’s work revolves around AI projects at the intersection of healthcare and economics.
Avinav’s experience in Software Engineering at Amazon Web Services lays the foundation for his classes in Cloud Computing at Northeastern in Seattle. Since joining Northeastern in 2018 as a part-time lecturer, his students have had access to cutting-edge industry knowledge. Avinav attended the Don Bosco Engineering of Technology before completing a master’s in computer engineering at the University of Florida. In his tame working with Amazon and AWS, he has participated in projects related to the Early Reviewers Program, Chat Application, and CloudWatch.
Since joining Northeastern University in Seattle in 2017, Dr. Nasrabadi has entered the Expedia Group as a principal applied researcher, where he develops optimization and prediction models to power various aspects of highly complex marketing campaigns in travel metasearch sites. In addition to his time at Expedia, Dr. Nasrabadi also spent 4 years as a research scientist with Amazon. After attaining a PhD in Computer Science at Amirkabir University of Technology, he pursued a second PhD in Mathematics at the Technical University in Berlin, which he completed in 2009.
Shivani Kailesh Patel
Shivani joined the Northeastern University team in Seattle in 2019, capitalizing on prior teaching experience at Oregon State University. After working as a data scientist at SAP Concur for over three years, she now works as a data scientist for Amazon Robotics. Shivani serves on the Renton Schools Foundation Board where her interest is in STEM education. She also volunteers with the Techbridge Girls program and is a Regional Ambassador for the Women in Data Science Puget Sound Conference. Shivani pursued graduate work in Statistics at Oregon State University, building on a BS in Speech and Hearing Sciences at the University of Washington.
What our Students Say
I choose to study at Northeastern Seattle because I like the technology vibe around Seattle. In addition, the smaller campus size will provide me with lots of hands-on support. The most exciting about studying at the Seattle campus is that you have incredible opportunities to connect with NU Alumni and employers in different company sizes. The faculties did excellent work by creating an outstanding curriculum for students and were able to provide phenomenal speakers and workshops each semester.
-Yufei Wang, Data Analytics Engineering
I am a non-tech background student who eager to learn more about data analytics. Data Analytics Engineering is the perfect program for me because it welcomes everyone. DAE provides the opportunity for me to step into the data world. I have learned a lot and loved this field so much.
-Mei-Chun Hung, Data Analytics Engineering
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