Several sections of this site are currently under progress...
research document | 2020
A collection of three applied data science essays on peer influence in Scratch, polarization in Twitter, and politicization in Guardian. Find slides, abstract, and full text of the thesis here →
research article | 2020
With Massimo Riccaboni, we investigate how users in the online learning platform Scratch are influenced by their peers' production popularity to decide to create new projects. Find full article here →
comment on research | 2019
Check out the related research article on information credibility which was published in Palgrave Communications by me and Paolo Pin here →
working paper | 2020
With Christos Nicolaides, we show how readers make sense of politicized contexts in news articles, and participate and engage in discussions -- in higher volumes than without such politicization. Continue reading →
business analytics | forthcoming
A recent experimental research has shown that estimates of new sales created by recommendation system, as in Amazon, are usually over-estimated! Let's understand this better here. Coming soon.
course | forthcoming
What's the difference between statistics and machine learning? Check out this explanation ↗. Are you convinced? Did it make sense to you? Let's wait for an interesting course, with hands-on insights, on the basics here. Available in May 2021
Abhishek is an applied data scientist with interest in understanding human behaviour in social, business, and economic contexts. He practices yoga, and likes playing table tennis, cooking, travelling, and photography. He is interested to collaborate on research projects and innovative ideas with social impact. You can find some more information here.