Michelle Qu

Michelle Qu

Senior Data Analyst


4INFO

Milestones

My road in life took a while to figure out.
I originally pursued economics in college, both at UC Berkeley and Cornell University.
While at Cornell, I worked as a research assistant doing data processing.
That was the first time I'd worked in data analysis and I really enjoyed it.
I took a course in machine learning and learned that I was also interested in modeling.
I realized that data modeling would be the way of the future, and it combined my two interests.
Keep following my journey

Education

High School
Bachelor
Macroeconomics
University of California-Berkeley
Graduate
Applied Economics and Statistics
Cornell University

Career

Senior Data Analyst

I deal with big data analytics and build models and visualizations based on that data.

Career Roadmap

Roadmap
My work combines:
My work combines:
Science
Technology
Learning / Being Challenged

Day to Day

I wake up around 7:00 a.m. and go for a jog. I arrive at the office at 9:30 a.m. and I have a daily standup meeting at 10:30, so I'll try to have learned something new before that meeting; for example, I'll study a new model or algorithm that I can present at standup. Then I'll start my work; oftentimes that involves working on in-house requests from our product manager. In the afternoon, I'll have a meeting following up on my work for the day, then I get off of work at around 6:00 p.m.

Skills & Qualities Beyond School

There are technology skills that are needed, for example, knowing how to model big data for classifications or predictions. There are also some soft skills that are needed, like being able to communicate well with your team. For me, I need to be able to take instruction from a project manager, then I need to be able to communicate my needs to our data scientists. Also, time management is important; you'll have multiple projects going on, so you need to be able to both prioritize and multitask.

Advice for Getting Started

Here's the first step for high school students

The most important first step you can take is to decide what you're really interested in, THEN start pursuing the skills needed. I had to take a wide variety of classes before I started to realize that data was what I was truly interested in, and then from there, I could start to take more and more courses that would focus in on that area.

Recommended Education

My career is not related to what I studied. I'd recommend this path instead:

undergrad
Bachelor
Computer Engineering, General
graduate
Graduate
Statistics, General

Hurdles

The Noise I Shed

From Peers:

"You should move back to China; it's too difficult to find a job in the U.S."