About Me

My name is Ashish Dutt and I love making beautiful charts, the statistical programming language R, black coffee, and red wine.

I completed my first degree in biological sciences in 1995, but I realised my calling was with computer science. I was fascinated with computers. My interest was further piqued, when I saw this dumb machine could be programmed to compete with the human brain. In order to understand how these dumb machines can work so efficiently, I worked for a decade, in various technical roles from junior to mid-senior level positions, for top IT companies in India, like IBM, Dell and HP. This practical work experience was instrumental in helping me, to earn a Master’s in Computer Science in year 2012. Meanwhile, I worked in academia (teaching and doing research) and ed tech before moving into data science and discovering R. Now, my background in biology, computer science, and education has given me a strong foundation for using data to answer interesting questions and communicate about technical topics with diverse audiences. At present, I’m a PhD candidate in the department of information systems, University of Malaya (UM), Kuala Lumpur, Malaysia. My research interest is in unsupervised learning in education.

My research guide is Assoc. Prof. Dr. Maizatul Akmar Ismail. I also serve as a reviewer for several international journals, namely:

Active Reviewer

  • Applied Soft Computing, ISSN: 1568-4946, Q1 (Computer Science), Elsevier publication; 12 issues/year.
  • IEEE Access, ISSN: 2169-3536, Q1 (Computer Science, Information Systems), IEEE, USA; Open Access (0 issues/year).
  • IEEE Transactions on Learning Technologies, ISSN: 1939-1382, Q2 (Computer Science); IEEE Society, USA; 4 issues/year.
  • Kybernetes, ISSN: 0368-492X, Q4 (Computer Science), Emerald Group, England; 10 issues/year

Past/Inactive Reviewer

  • Soft Computing, ISSN: 1432-7643, Q2 (Computer Science), Springer, USA; 12 issues/year
  • IETE Journal of Research, ISSN: 0377-2063, Q4 (Engineering), Taylor & Francis, India; 6 issues/year.

As the tag line suggests, this blog primarily focuses on data analytical activities. I chose to create this blog so as to keep readers with similar interest updated of my research work. The technical aspects of my research work as well my continued tryst with data analysis will be updated here. Look at my work on Github

My blog posts are released under a Creative Commons Attribution-ShareAlike 4.0 International License.
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