M.S. in Data Science

Faculty & Administration

  • Photo of Gulhan Bizel

    Gulhan Bizel, Ph.D.

    Director, Data Science Institute
    Director, Master’s Program in Marketing Science

    Email: gbizel@saintpeters.edu
    Phone: (201) 761-7103

    Dr. Bizel’s Biography


  • Photo of Sharath Kumar Jagannathan

    Sharath Kumar Jagannathan, Ph.D.

    Assistant Professor, Data Science Institute
    Operation Lead, Microsoft Academic Initiative Team

    Email: sjagannathan@saintpeters.edu
    Phone: (973) 462-173

    Dr. Jagannathan’s Biography

    Dr. Jagannathan obtained his undergraduate degree in computer science (2000) from Madras University, India. He then pursued his Master’s degree in software systems engineering from University of Melbourne Australia in 2005. Sharath worked for four years as a Network consultant in Intelligent IP Perth Australia and later worked as an Associate Professor from 2011 to 2021 (10 years) at VIT University India and during this tenure he received his doctoral degree in the area of social network privacy preservation in 2020. Sharath has over 15 journal publications, one International Conference and one Indian patent till date. His research Interests include machine learning, Deep Learning and anonymization techniques.


  • Photo of Dong Ryeol Lee

    Dong Ryeol Lee, Ph.D.

    Assistant Professor, Data Science Institute

    Email: dlee5@saintpeters.edu
    Phone: (201) 761-6377

    Dr. Lee’s Biography

    Dr. Lee is a researcher with expertise in large scale machine learning and with experience working on projects in aviation, finance, internet, and automotive sectors. Previously he worked as a research scientist working on web search engine, fleet level prognostics, and revenue forecasting models. He serves as a reviewer for machine learning conferences and journals.

    Dr. Lee’s research is inspired by geometric problems ubiquitous in natural science, web, and IoT (Internet of Things) applications. In natural science, simulation of celestial bodies can model galaxy formation and redshift. In web applications, web searches serve many consumers with text, image, and video content. IoT applications utilize predictive maintenance models to prevent catastrophic failures of potentially expensive industrial assets. Many of these applications at heart involve computational methods processing point sets in metric spaces. His research focuses on implementation and analysis of core methods powering industrial applications.


  • Photo of Reshma Kar

    Reshma Kar, Ph.D.

    Assistant Professor, Data Science Institute

    Email: rkar@saintpeters.edu
    Phone: (201) 761-7103

    Dr. Kar’s Biography

    Dr. Kar is a committed academician with knowledge of cutting edge technologies in Data Science. She believes in collaboration and open communication.
    In her current position as Assistant Professor of Data Science Institute, she is lecturing on introduction to data science and predictive analysis & financial modeling courses. Before joining Saint Peter’s, she was a project fellow and senior project fellow in the Department of Electronics and Tele-communication Engineering, Jadavpur University, Kolkata, India, funded by University Grant Commision, India. She was a guest faculty at Jadavpur University during her Ph.D tenure. Apart from research and teaching, she was involved in helping masters and bachelor’s students complete research projects and learn programming. She also served as a teaching assistant in National Institute of Technology Agartala during her master’s tenure.

    She received B.Tech. degree in Information Technology from North-Eastern Hill University, Shillong, Meghalaya, India in 2010, and M.Tech. degree in Computer Science and Engineering from National Institute of Technology, Agartala, Tripura, India in 2012. She received her Ph.D. degree from Jadavpur University, Kolkata, West Bengal, India in 2020. She has published multiple research papers in leading international journals and conference proceedings. Her current research interests include brain-computer interfacing, artificial intelligence, and data science.


  • Photo of Shahid Zaheer

    Shahid Zaheer

    Lecturer, Data Science Institute

    Email: szaheer@saintpters.edu

    Shahid Zaheer is currently a Doctoral Candidate, enrolled with PACE University, NY.

    Prof. Zaheer’s Biography

  • Saint

    Vijay Voddi

    Director of Data Science Programs
    Data Science Institute

    Email: vvoddi@saintpeters.edu
    (201) 761-6472

    Prof. Voddi’s Biography


  • photo of Mohit Supe

    Mohit Supe, M.S., M.B.A.

    Adjunct Faculty of Data Science
    Email: msupe@saintpeters.edu
    Office: Dinneen Hall, Room 1

    Prof. Supe’s Biography

    Mohit Supe earned his B.E. in Electronics & Telecommunication from University of Mumbai, India; MBA in Information Technology with specialization in compliance and process management from Symbiosis International University, India and MS in Data Science from Saint Peter’s University. Mohit has experience working in E-Commerce domain and his major area of focus is into CRM technologies and strategies. He has extensive experience in creating, executing and evaluating digital marketing campaigns across platforms and domains.

    Additionally, Mohit is a certified Google AdWords and Google Analytics professional with inclined work experience and his current focus is on dynamic and advanced cloud computing techniques with Big Data Analytics using Amazon Web Services.

  • Khaled Zayed, Ph.D.

    Adjunct Faculty of Data Science
    Email: kzayed@saintpeters.edu

    Prof. Zayed’s Biography

    Dr. Zayed is focused, qualified and well-educated professional with more than ten (10) years of Information Technology experience and over three years of senior management and leadership experience. Dr. Zayed is a co-founder and managing director of Aspire Tech NJ, LLC (IT Consulting firm in New Jersey & New York – https://aspiretechnj.com – He is also a part time professor of Information Technology, Customer Service, and Data Science.

  • Mark Chilewitz headshot

    Mark Chilewitz, M.B.A.

    Adjunct Professor of Data Science


    Mark Chilewitz is a technical professional who has been delivering secure and innovative solutions that manage complex systems for over 30 years. His roles have always demanded the integration and implementation of modern technologies that solve business problems.

    In his current role as Lead Software Engineer at JPMorgan Chase, Mark is a subject matter expert in the area of Identity and Access Management. He partners with business management, developers, engineers, and a wide array of stakeholders to achieve technical objectives. Having strong technical experience in infrastructure engineering, solutions architecture, full stack development, technical project management, risk management, and process automation, Mark connects the technical dots to successfully deliver critical business systems.

    Mark holds an MBA with a concentration in Analytics and Information Systems, and is certified in Project Management (PMI PMP), and in AWS Cloud Computing. His passion for teaching is driven by his compulsion for learning, and for sharing knowledge.

  • Alexandra F Ruiz, M.A.

    The Data Science Institute Outreach Coordinator
    Coordinator & Academic Advisor of the Professional Hybrid Program

    Email: aruiz1@saintpeters.edu

    Prof. Ruiz’s Biography

    With a specialization in military and medieval European history and a deep interest in ancient history, Alexandra has made it her mission to bring sociological perspectives into the study of history by integrating the study of demographics and other aspects into her lectures.

    As an Adjunct Professor of the History Department and Data Science Institute, Alexandra brings her knowledge of military and medieval European history to the forefront. She is known for her engaging lectures that are intertwined with odd tidbits of history that she likes to call in the classroom “weird history” and her ability to connect the past to the present in meaningful ways. Her particular expertise in demographics and statistical analysis also allows her to explore the social and economic factors that have shaped historical events.

    In her free time, she enjoys reading historical fiction/non-fiction, painting, singing, traveling, writing and exploring the cultural heritage of her home state of New Jersey.

  • Diatou Gueye, MBA

    Adjunct Instructor

    Diatou Gueye received her MBA from Cornell University and Bachelor from Baruch College, CUNY, with a focus in Finance.

    Diatou has worked in the financial industry for the past 25 years. She has witnessed first hand the momentous market events, its impact on organizations, enhancements made to adapt to new realities.

    Diatou is currently an Executive Director at Morgan Stanley, responsible for hedge fund client integration to its Prime Brokerage platform; promotion of technology solutions to its client base, and partnership with developers to enhance overall offering.

    Outside of work, Diatou is a mother of 2 teenagers, board member and volunteer in several initiatives related to health, poverty and education.