I am a senior data scientist at Attest. I am also a member of the Quanteda Initiative and a mentor under the Research-to-Business Mentorship Scheme for LSE PhD candidates and post-docs looking to transition into data science.
As a computational social scientist, my core expertise lies in statistical analysis and predictive modelling. At Attest, I build algorithmic models for fraud detection to screen out high-risk respondents in surveys. In addition, I am developing a novel sampling framework to mitigate bias when multiple panels are blended in a single survey.
Previously, I was a postdoctoral researcher in analytic software development at the London School of Economics. At the same time, I was a research scientist at Uppsala University working on the automation of the Uppsala Conflict Data Program (UCDP) using natural language processing (NLP) and active learning.
Most of my side projects are on GitHub. I contribute my blog to R-Bloggers, a hub for all things R that I have learned a lot from, and RWeekly. I am starting a Python data science blog in 2021—stay tuned!