I have conducted research for and supported many quantitative and qualitative analytics projects over the years, including determining competitive social media efficacy, conducting social network analyses from survey data, and creating a comprehensive regression model to forecast enrollment patterns on both a micro and macro level.

Apart from teasing out the key insights from a large data set that initially might seem random and chaotic, I am most passionate about figuring out how to tell a compelling story from the data because it challenges me every time and forces me to think outside the box.

The biggest challenge by far that I face in data analytics is cleaning the data. Often the data that we get is messy or has not been collected in the way that we want (or is missing key aspects that we need for the analysis). For example, when doing the social network analysis with Gephi, we ran into several roadblocks when converting the XML files into CSV files readable by Gephi.

The ROL team congratulates Ryo on his Graduation and wishes him good luck for his next adventure.