Fritz Passow's Data Analyst Portfolio
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I currently work for a global SMS aggregator, a company that handles text messaging for other companies. When you receive a text message for two-factor authentication, a delivery notification, or an appointment reminder, it passed through my employer or one of a small number of similar companies on its way to your mobile phone operator. That’s a lot of messages. So that’s a lot of data.
Troubleshooting often involves filtering, aggregating, and visualizing all that data. Is a problem associated with Verizon, or AT&T? Is it affecting just one customer or all of them? What error code has become more common? The first step is often to take whatever a customer reports, and then discover the real scope or nature of the problem.
A good support engineer also communicates across many roles. Like a data analyst, a support engineer works with customers, managers, end-users, and the owners of all kinds of technological systems. When a someone comes to me with a question or a problem, I usually own that problem and work with whatever other teams are needed until the question is answered or the problem is solved.
I use internal tools, a drag-and-drop graphing tool called Pivot (a front end for Druid database), Excel, some SQL, and sometimes Python and Jupyter Notebooks.
I became interested in data work because it’s a role that might use some Python. And my first experience playing with the Titanic dataset was a lot of fun.
Skills
- SQL
- Python
- Tableau
- R
- Excel
- Unix command line