An engineer-turned-MBA trying to be the anti-quant finally embraces his data-loving self.
Recounting my experiences using data analysis and coding tools, finding and using public data, and developing dtaa-based “products.”
Super-fascinating quantitative analysis. Well, to me, anyway.
Occasional home automation and lifehacking experiments.
Because I’m the worst punster ever? Because I could register the domain name? I dunno. I hope one of you has a better name.
Also, I firmly believe that good data analysis is immediately applicable to real-world decision making. You know, to solve the quandaries we face in real life. That doesn’t mean I can’t enjoy a trip down an analytical rabbit hole now and then. But we should never forget this point. Never!!!
Standard story: engineering undergrad + MBA. Technical marketing, brief stint at a startup, then several years of corporate strategy and, now, corporate IT.
I’m not an actual Data Scientist. But despite my concerted effort to distance myself from my quant roots, I don’t think I’ve ever experienced flow anywhere quite like I do when I have a new data set and I’m exploring.
So, I’m investigating what’s out there. In the past, I’ve constrained myself to readily available (organized, cleaned) data and whatever I could do in MS Excel. Now, I’m going to let it loose a bit and see if I can find something amazing.