My information science journey started with a disaster.
At 9:01am on Monday morning, my cellphone buzzed with a PagerDuty alert. Instinctively, I pulled up the corporate dashboard and noticed that mortgage approval charges had doubled in a single day.
My coronary heart began pounding.
I used to be a threat analyst on the time managing a lending portfolio. Approving loans for a higher-risk phase may have a big effect on loss fee.
Bleary-eyed, I dove into the info.
I frantically:
- Wrote SQL queries to tug information,
- Analyzed information in Python attempting to identify anomalies,
- Regarded for patterns that might clarify the sudden spike in approval charges.
I found that one particular characteristic within the credit score mannequin had drifted.
Seems it was a easy timezone error.
This incident marked a turning level in my profession, and was the start of my journey going from information analyst to information scientist.