I am a seasoned data scientist with a heavy social science bent: I have a PhD in Economics (Bayesian Econometrics) and a Master in Computer Science, with over ten years'鈥� experience in software development and five years'鈥� experience in data science. Increasingly I find that my mix of in-depth understanding of math, hands-on programming skills and economist's perspective gives me a unique edge in understanding and solving business problems with data.
On and off my job, a few things that interest me:
1. Causal modeling in the Big Data era -- what new tools econometricians need to have in their tool kits?
2. Bayesian inference in the Big Data era -- is the time to move beyond MCMC?
3.
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