Coming from my job as an implementation consultant at Deloitte Digital and joining Metis has been such a whirlwind, but in the best way possible.
My typical day, in contrast:
Me: Hey dude, can you make the system do this? While you’re at it, can you make this button blue and move it to the left side of the screen?
Developer on my team: Done. Coffee time?
Me: This would be a really cool algorithm to design! I wonder if I can build it to do what I want without it taking 392,749,327,538 years to run!
Also me: #($&(!@&#@!!!!
Currently, the ideas in my head exceed my technical ability to accomplish them. This can be frustrating at times, but it is the main reason I came to Metis: to bridge that gap.
One thing I love about data science is the creativity of working on open ended questions. This week, we tackled our very first project. Our goal was to recommend the best MTA stations for a nonprofit street team to conduct marketing activities. There were about a million things that our group wanted to investigate, and it felt like our biggest challenge was to reign ourselves in and select a manageable amount of analysis to conduct given the 1 week timeframe, the messy nature of the data, and our own learning curves.
That being said, I’m extremely proud of our team’s work. I’ve learned so much already and am extremely motivated to push myself further.