As of today, my fiancée and I are just under 100 days from our upcoming wedding. And while we haven’t run into many wedding planning snafus, it’s been easy to find technological annoyances, especially when dealing with different companies or technologies for different aspects of the wedding: save-the-dates, website, registries, invitations, RSVPs, and more. (Yes, I know The Knot has all that functionality, but sometimes one feature works or looks better on one site and another is better on another site.)

The other day we were working on gathering the addresses of all our invitees. We had used Minted for…


Whether in college, graduate school or a 12-week intensive data science bootcamp, when you first start off you’re often just handed a dataset to work with in an easy to read format such as a .csv (comma separated values). You load your data, clean your data, build and evaluate your model and go on your merry way. But then you quickly realize: you don’t just want to work with 40 year-old housing price data from Boston. And not every piece of data is structured data, i.e. …


A constant refrain I heard from my instructors in the first few weeks of my data science bootcamp at General Assembly was “why don’t you try it out?” Initially it’s easy to hear that response and indignantly think “why can’t you just tell me the answer?” But I quickly realized the beauty of that rhetorical question is that it has encouraged me to (1) develop the ability to independently find solutions (whether by simple trial and error, or with assistance from Google and Stack Overflow) and (2) remain curious (by not immediately dismissing imperfect ideas). …

Will Karnasiewicz

Data scientist; CFA charterholder and financial valuation specialist; avid golfer and racquet sport aficionado; homebrewing hobbyist; TWTR: @wmkarney

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