During the pandemic, I committed to exercising regularly. Here’s a simple snapshot of a year’s worth of data. The dropoffs happened after Thanksgiving and right before my dissertation defense. Need to work on maintaining the habit during the holidays and periods of stress.
A year ago, I tweeted about #TheSocialDilemma. I figured I should also create a post about it https://twitter.com/michaelurmeneta/status/1307853103430066176 “For the last 10 years, the biggest companies in Silicon Valley have been the business of selling their users” – Roger McNamee The classic saying is that “If you’re not paying for the product, then you are
I have worked with Ruffalo Noel Levitz, Maguire Associates, and Hardwick Day (now EAB). They all follow a similar process. Start with the big picture Take 3-5 years of data and look at the numbers in the aggregate Calculate the highs and lows Do a Monte Carlo simulation to determine the most likely data ranges
The cost of attending college has been a major concern for the last several decades now. Every year, tuition has continued to rise unabated, far outpacing the rate of inflation. During that time, the sticker price of our institutions has become much greater than most students are willing or able to pay. Cost remains a
Data from the Department of Education. Visualization is done in Tableau. This is a PDF of the output. As mentioned in many outlets already, the Northeast is in for a rough few years.
Truly honored to have been awarded this distinction. Proud to be among my fellow #NortheasternUniversity graduates. See you on Nov 12th! #Scholars #ChangeAgents #Fall2018Cohort
This is a particularly hairy example of comparative program performance that needed to take into account: (a) program consolidations, (b) shifting departmental oversight, (b) school name changes, (c) sliding test score ranges, (d) and a host of other data idiosyncrasies. This code takes a days-long manual cleaning process and reduces it to about 5 minutes.