Faculty Profile for Dr. Aindrila Chakraborty

profile photo for Dr. Aindrila Chakraborty
Dr. Aindrila Chakraborty
Assistant Professor — CIS & Quantitative Methods
MCOY 450
phone: (512) 245-3181

Biography Section

Biography and Education

7+ years of research experience in Econometric Modeling, Text and Data Mining, 3.5 years of work experience in software industry, 7+ years of teaching experience in Computer Information Systems, Database design, SQL queries, Data warehouse, Python Programming, and Mathematics. Experienced in discovering and exploring patterns hidden in large structured, semi-structured and unstructured datasets. Proficient in building machine learning algorithms, and data-driven predictive and inferential models to solve large-scale social and business problems. Strong background in Data and Text Analytics, Statistics, Econometrics and Information Systems.

Education:
Ph.D. in Operations and Information Management 2018 Department of Operations and Information Management (OPIM), School of Business University of Connecticut Storrs, Connecticut

Dissertation Title: “Greasing the Data Engine: Economic Impact and Legislative Success of Information and Communication Technologies (ICT) at Local and National Levels”

Committee: Sudip Bhattacharjee, Ramesh Shankar, James Marsden, and Raghu T. Santanam

MSc. (Master of Science) in Mathematics 2007 Jadavpur University, Kolkata, West Bengal, India

BSc. (Bachelor of Science) in Mathematics (Honors) 2005 Jadavpur University, Kolkata, West Bengal, India (Subsidiary Subjects: Statistics, Computer Science)

Teaching Interests

Management Information Systems, Business Analytics, Python Programming, Data Mining, Text Mining, Machine Learning, Database Design, Data warehouse, Business Intelligence, Business Oriented Mathematics, Mathematical Statistics

Research Interests

Data and Text Mining, Natural Language Processing, Machine Learning, Business Analytics, Economies of Information Systems, and IT Policy

Selected Scholarly/Creative Work

  • Chakraborty, A., Bhattacharjee, S., Marsden, J. R., & Shankar, R. (2018). Predictive Models to Measure the Impact of Fiber-Optic Broadband Speeds on Local Towns and Communities. Telematics and Informatics, 35(5), 1408–1420. https://doi.org/https://doi.org/10.1016/j.tele.2018.03.011

Selected Awards

  • Award / Honor Recipient: UConn School of Business Ph.D. Outstanding PhD applicant award. 2012
  • Award / Honor Recipient: Star Performer Award, Tech Mahindra Ltd. 2010

Selected Grants

  • Chakraborty, Aindrila. Faculty Development Fund, McCoy College of Business, Texas State University, Texas State University, $2400. (Submitted: September 20, 2019). Grant.

Selected Service Activities

Member
CIS Faculty Position Search Committee
July 11, 2019-Present
Member
Technical Staff Search Committee
April 10, 2019-Present
Reviewer / Referee
Conference on Information Systems and Technology (CIST)
September 2014-Present
Reviewer / Referee
Information Systems Research (ISR)
April 2014-Present
Reviewer / Referee
Workshop on Information Technologies and Systems (WITS)
April 2014-Present