Ken is a recipient of Level’s Analyst of the Week award, and the title is much deserved. Ken has a background in mathematics, finance and higher education, and took Level so he could address business problems in a data-driven way. He is also a sports enthusiast, and is seen above giving his class a primer on baseball statistics. 

What excites you most about data analytics?
How meaningful conclusions can be drawn from vast amounts of information.  It is applicable to any and all fields.

What projects have you worked on?
At Level, we have worked on a wide variety of problems.  They have touched upon MBTA bus routes, the edX online learning platform, employment data, sales at a retail organization and baseball statistics.  For my capstone project, I am working on creating a dashboard for a statewide non-profit organization.

What kinds of projects would you like to work on next? 
Projects that allow me to use my recently learned tools to solve problems.  We have had exposure to SQL, R and statistical techniques such as regression, clustering and predictive analytics.  Drawing from past experience will hopefully make the future easier.
 
If you could have access to all of Google’s data for 24 hours, what would you do? 
Step 1.  Explore the data
Step 2.  Clean the data.

Step 3.  This depends on what I find in step 1 and examining spikes in usage throughout the day.

What was the most surprising or unpredictable part of your bootcamp experience?
How quickly it goes by.

Favorite topic learned at Level?
Logistic regression.

Do you have any advice for someone preparing for a data bootcamp? 
Take it one day at a time.  There are moments at the outset where things can seem unclear, but everything seemed to come together in the end.

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