Admission Inquiry

Mr. Aurindam Chakraborty

Mr. Aurindam Chakraborty

  • Assistant Professor
    Institute of Business Management
  • Department

    Business Management
  • Contact Details:

    Email :

    Contact Number :

  • Experience

    7 Years (Academic + Industry)

  • Qualifications

    • PhD in Finance
    • MBA in Finance

Mr. Aurindam Chakraborty is a faculty member at the Institute of Business Management, GLA University, specializing in Finance, Business Analytics, and Decision Sciences. An MBA in Finance, UGC–NET qualified, and currently pursuing his PhD in Finance, he aligns his research with the application of data science tools in analytical decision-making. He brings prior industry experience in data science, analytics, and consulting, enabling him to connect classroom learning with real-world problem-solving. He has completed the Executive PG Certification in Data Science & AI from IIT Roorkee and has been recognized with the Dr. J. Sen Memorial Prize and Dr. P.R. Das Memorial Medal for academic excellence. His work focuses on bridging the gap between theory and practice, helping students develop strong quantitative and decision-oriented thinking skills.

  • Training and Development
  • Managerial Aptitude
  • Company Specific Training
  • Re-Orientation Programme
  • Godavari Devi Prize for Impactful Trainer (2024–25) – Awarded for delivering high-impact training and contributing significantly to student development.
  • Core-Committee Member, BHUMAA Annual Alumni Meet 2020 (IM-BHU) – Recognition for contributing to the organization of a major alumni event.
  • Dr. J. Sen Memorial Prize – Awarded for securing the highest overall marks in Graduation.
  • Dr. P.R. Das Memorial Medal – Awarded for securing the highest marks in practical examinations in Graduation.
  • Executive PG Certification in Data Science & AI – IIT Roorkee (Intellipaat) – Completion of advanced training in analytics, machine learning, and data-driven decision-making.
  • Six Sigma Yellow Belt Certification – Certified in process improvement and quality management methodologies.
Admission Helpline 9027068068