Faculty

Binesh Nair

Assistant Professor
Programme Chairperson, MBA Digital Transformation
Programme Chairperson for MBA DSA and MS BAIM (Purdue University)

Academic and Professional Qualification

  • MSc. Data Analytics, Dublin City University, 2015
  • MSc. Information Technology, Mumbai University, 2010
  • BSc. Information Technology, Mumbai University, 2007

Industry Experience

  • Manager, Forensic Analytics, Deloitte Touche Tohmatsu India LLP, Mumbai, 2019-2020
  • Senior Consultant, Analytics and Cognitive, Deloitte Ireland LLP, Dublin, Ireland, 2017-2019
  • Associate Business Consultant, ABC Paradigms Consultant Pvt. Ltd., Mumbai, 2011-2013

Research Experience

  • Data Scientist, Irish Centre for Cloud Computing and Commerce, DCU Business School, Dublin, Ireland, 2015-2017

Teaching Experience

  • Lecturer, Vidyalankar School of Information Technology, Mumbai, 2013-14
  • Visiting Faculty, Birla College of Arts, Science & Commerce, Mumbai, 2010-11
  • Visiting Faculty, SIES College of Arts, Science & Commerce, Mumbai, 2010-11

Course Taught

Programming for Analytics, Machine Learning, Artificial Intelligence, Business Analytics, Technology Applications in Business, HR Analytics, Visual Analytics, Data Analytics in Business

Phone - (022) 4235 5966

Email: binesh.nair@sbm.nmims.edu

Website: www.bineshnair.com

Research Interest

Business Analytics, Data Mining, Machine Learning, Social Network Analytics, Learning Analytics, Text Mining

Google Scholar: Citations 100, h-index 6, i10-index 3

Research Gate: Citations 60, Reads 6,095

Recent Publications

Refereed Journal Publications

  • Sateesh Shet and Binesh Nair (2022), “Quality of Hire: Expanding the Multi-level Fit Employee Selection using Machine Learning”, International Journal of Organizational Analysis.
  • Theo Lynn, Pierangelo Rosati, Binesh Nair and Ciaran Mac an Bhaird (2020), “An Exploratory Data Analysis of the #Crowdfunding Network on Twitter”, Journal of Open Innovation: Technology, Market and Complexity, 6, 80.
  • Theo Lynn, Pierangelo Rosati and Binesh Nair (2020), “Calculated vs. Ad Hoc Publics in the #Brexit Discourse on Twitter and the Role of Business Actors”, Information, 11, 435.
  • Martin Quinn, Theodore Lynn, Stephen Jollands and Binesh Nair (2016); “Domestic Water Charges in Ireland-Issues and Challenges Conveyed through Social Media”, Water Resources Management, pp: 1-15.
  • Binesh Nair and Amiya Kumar Tripathy, (2011); “Accelerating Mining of Closed Frequent Itemsets by Elimination of Null Transactions”, International Journal of Emerging Trends in Computing and Information Sciences, vol.2, No. 7, pp: 317-324.

 

Book Chapters

  • Binesh Nair (2021), “A Classifier to Predict Document Novelty using Association Rule Mining”, Proceedings of International Conference on Machine Intelligence and Data Science Applications (MIDAS) 2020, Prateek M., Singh T.P., Choudhury T., Pandey H.M., Gia and Nhu N. (eds), Algorithms for Intelligent Systems, Springer, Singapore.
  • Eamon Costello, Mark Brown, Binesh Nair, Mairéad Nic Giolla Mhichíl, Jingjing Zhang and Theo Lynn (2017), “#MOOC Friends and Followers: An Analysis of Twitter Hashtag Networks”,Digital Education: Out to the World and Back to the Campus, Carlos Delgado Kloos, Patrick Jermann, Mar Pérez-Sanagustín, Daniel T. Seaton and Su White. EMOOCs 2017. Lecture Notes in Computer Science, vol 10254. Springer, Cham.
  • Binesh Nair and Amiya Kumar Tripathy, (2011); “Optimizing Frequent Pattern Mining through Elimination of Null Transactions”, Computational Intelligence and Information Technology, Vinu V Das and Nessy Thankachan. CIIT 2011. Communications in Computer and Information Science, vol 250. Springer, Berlin, Heidelberg.

Conference Proceedings

  • Binesh Nair (2020), “A Classifier to Predict Document Novelty using Association Rule Mining”, International Conference on Machine Intelligence and Data Science Applications (MIDAS 2020), Dehradun, September 4th – 5th.
  • Theodore Gerard Lynn, Pierangelo Rosati, Binesh Nair and Ciarán mac an Bhaird (2017), “Entrepreneurial Participation in the Brexit Discourse: The Utility of Twitter for Stakeholder Identification and Public Policy Insights”, 40th Annual Institute of Small Business and Entrepreneurship Conference, Belfast, November 8th – 9th.
  • Theodore Lynn, Pierangelo Rosati, Binesh Nair and Ciarán Bhaird (2017), “Harness the Crowd: An Exploration of the #Crowdfunding Community on Twitter”, 40th Annual Institute of Small Business and Entrepreneurship Conference, Belfast, November 8th – 9th.
  • Pierangelo Rosati, Binesh Nair and Theo Lynn (2017), “Calculated vs Ad Hoc Publics in the #Brexit Discourse on Twitter”, 20th Annual Irish Academy of Management Conference, Queen’s University, Belfast, August 30 – September 1.
  • Pierangelo Rosati, Binesh Nair and Theo Lynn (2017), “Corporate Socio-Political Involvement: Evidence from #Brexit”, 20th Annual Irish Academy of Management Conference, Queen’s University, Belfast, August 30 – September 1.
  • Eamon Costello, Mark Brown, Binesh Nair, Mairéad Nic Giolla Mhichíl, Jingjing Zhang and Theo Lynn (2017), “#MOOC Friends and Followers: An Analysis of Twitter Hashtag Networks”, European Conference on Massive Open Online Courses (pp. 170 – 175), Springer, Cham.
  • Mairead Nic Giolla Mhichil, Mark Brown, Eamon Costello, Theo Lynn and Binesh Nair (2017), “MOOC Movers and Shakers: Who is Setting the Agenda?”, OER17: The Politics of Open, London, April 6.
  • Pierangelo Rosati, Binesh Nair and Theo Gerard Lynn (2016), “#Bitcoin Vs #Blockchain: The Role of Trust in Disrupting Financial Services”, 7th European Business Research Conference, University of Roma Tre, Rome, December 15-16.
  • Eamon Costello, Binesh Nair, Mark Brown, Jingjing Zhang, Mairéad Nic Giolla Mhichíl, Enda Donlon and Theo Lynn (2016), “Social Media #MOOC Mentions: Lessons for MOOC Research from Analysis of Twitter Data”, 33rd International Conference on Innovation, Practice and Research in the use of Educational Technologies in Tertiary Education, Proceedings of ASCILITE, Adelaide (p. 157 – 162).
  • Theo Lynn, Binesh Nair, Anna Gourinovitch, Mark Brown and Eamon Costello (2016), “On-Message Out-of-Class: An Exploration in to the Effect of Message Source Credibility and Message Source on Student Engagement on Twitter”, The Next Generation: Digital Learning Research Symposium, Dublin City University, November 1.
  • Eamon Costello, Mark Brown, Enda Donlon, Binesh Nair, Mairead Ni Ghiolla Michil, Theo Lynn, Jingjing Zhang and Kirk Perris (2016), “Towards a Research Agenda of MOOCs in Twitter through Analysis of a Large Dataset”, Association for Learning Technology Conference (ALT-C), Connect, Collaborate, Create, University of Warwick, Warwick, September 6-8.
  • Eugenia Siapera, Binesh Nair, Theo Lynn and Graham Hunt (2016), “Terrorism on Twitter-Comparing #CharlieHebdo and #ParisAttacks“, VOX-POL Mid-Project Conference: Taking Stock of Research on Violent Online Political Extremism,  Dublin City University, Dublin, June 22-24.
  • Eamon Costello, Theo Lynn, Mark Brown, Binesh Nair, Enda Donlon and Mairead Nic Giolla Mhichil (2016), “Rising or Falling? Tracing MOOC Trends in Social Media”, The 17th Annual Educational Technology Conference of the Irish Learning Technology Association, EdTech 2016, Law Society of Ireland Education Centre, Blackhall Place, Dublin, May 26-27.
  • Theo Lynn, Graham Hunt, Binesh Nair and Roisin Lyons (2016), “Towards an Online Reciprocal Peer Learning Dashboard”, The 17th Annual Educational Technology Conference of the Irish Learning Technology Association, EdTech 2016, Law Society of Ireland Education Centre, Blackhall Place, Dublin, May 26-27.
  • Martin John Quinn, Theo Lynn, Stephen Jollands and Binesh Nair, (2016); “Charging for Water Usage in Ireland: Issues and Challenges as conveyed through Twitter”, 2nd Twitter for Research Conference, National University of Ireland, Galway, April 18-19.
  • Binesh Nair and Amiya Kumar Tripathy, (2011); “Optimizing Frequent Pattern Mining through Elimination of Null Transactions”, International Conference of Computational Intelligence and Information Technology – CIIT 2011, publisher Springer LNCS-CCIS. November 07-08, Pune, India. (in Springer Press).
  • Binesh Nair, (2011); “Mining Frequent Itemsets using Itemset-Pruning method of Closed Frequent Itemset Mining: A case study applied to Health Care”, National Research Conference, Navi Mumbai, February 12th, pp 61-71.– Master’s Thesis – Best Paper Runner-up (Technology Track)

Articles

  • Binesh Nair, (2019), “Monetize Dormant Data: 3 Steps for C-Suite Executives to Integrate Analytics into Decision Making”, CSI Communications, ISSN 0970-647X, May 2019, Volume No. 43, Issue N0.2, Page No. 23
  • Binesh Nair, (2014), “Reaping ROI from Big Data”, CSI Communications, ISSN 0970-647X, June 2014, Volume No. 38, Issue N0.3, Page No. 28.

 

Find Research Profiles at Google Scholar and Research Gate

 

Community Contribution

  • Volunteer for HIV Ireland, 2018
  • Volunteer for Heart Children Ireland, 2017
  • Mentor for Senior Citizens, Inter-Generational Learning Programme, DCU, 2015
  • Writer for Variously Challenged Students, SIES Mumbai, 2008

Awards

    • Most Prominent Academician in Data Science in India, 2022
    • Government of Ireland Scholar, 2014-15
    • Member of the Consulting Advisory Council, Deloitte Ireland, 2019
    • Delivered lecture for class of MSc. Digital Marketing at prestigious Trinity College Dublin, 2017
    • Best Mentor Award, jointly awarded by Computer Society of India and Nurture Talent, 2013
    • Deloitte Dot Award for Exceptional Client Delivery, awarded by Deloitte Ireland, 2018
    • Deloitte Dot Award for Exceptional Team Collaboration, awarded by Deloitte Ireland, 2018
    • Mentor for budding Tech Entrepreneurs at National TechHunt organized by Computer Society of India and Nurture Talent, 2013
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