Data are becoming the new raw material of business
The Economist


From Astronomy to AI: Alumni Spotlight on Athena Stacy

At The Data Incubator we run a free eight-week data science fellowship to help our Fellows land industry jobs. We love Fellows with diverse academic backgrounds that go beyond what companies traditionally think of when hiring data scientists. Athena was a Fellow in our Fall 2016 cohort who landed a job with Brighterion.

Tell us about your background. How did it set you up to be a great data scientist?

My background is in astronomy.  My research consisted of developing and performing computer simulations of star formation in the early universe.  The goal of these simulations was to better understand what stellar clusters looked like in regions of the universe that telescopes cannot observe.  Thus I was already familiar with computer programming and visualizing data.  This was very helpful in the transition to data science.  Knowing how to present my research clearly to a range of audiences — both beginning students and other experts in the field — has helped as well!

What do you think you got out of The Data Incubator?

Tons!  Just about everything I know about machine learning I learned at TDI.  I met lots of great, friendly, and supportive people through TDI as well.  This includes the instructors and mentors as well as the other fellows in my cohort, many of which I’m sure I will keep up with for many years to come.   Through TDI  I’ve also made contacts with other companies and data scientists in the San Francisco Bay area, which has been quite helpful in getting those job interviews!  Continue reading

Tweet about this on TwitterShare on FacebookShare on LinkedIn

Crunching Yelp Data to a Job at Crunchbase: Alumni Spotlight on Newton Le

At The Data Incubator we run a free eight-week data science fellowship to help our Fellows land industry jobs. We love Fellows with diverse academic backgrounds that go beyond what companies traditionally think of when hiring data scientists. Newton was a Fellow in our Summer 2016 cohort who landed a job with one of our hiring partners, Crunchbase.

Tell us about your background. How did it set you up to be a great data scientist? 

I have an electrical engineering and computer science degree from UC Berkeley, which gave me a strong coding foundation. I am also almost done with a PhD in structural engineering at UC Davis, which gave me a lot of experience solving analytical problems computationally.

What do you think you got out of The Data Incubator?

Beyond the miniprojects and learning the data science tools available, The Data Incubator really made me see my potential. Being challenged to do something interesting with data, I came up with a fun idea that I had no idea how to execute, but I pushed myself to learn new tools and produce some useful within a few days. Seeing what others could do every week, I was inspired to add significant improvements to my capstone project and learned a lot each step of the way. Super smart instructors and talented peers really inspired me as well. Everyone had their strengths and I could learn something different from each person. The environment didn’t feel competitive at all and was actually very collaborative. I actually miss coming in every day to work with my pod. Go Team Lannister!  Continue reading

Tweet about this on TwitterShare on FacebookShare on LinkedIn

The Role of Data Science in Fintech

The following piece is co-written with our friends at Kabbage.

entrepreneur-1340649_960_720The application of computation and statistics to the real world has opened up an entire new paradigm. Named data science, it is in the process of transforming everything from media to business into more efficient and productive endeavors.

Nowhere has data science been more effective in creating change than the in the financial world. Data science has spawned an entirely new financial animal known as fintech. Fintech has radically altered the financial landscape by facilitating the application of big data and complex calculations to financial decision making. Accuracy and predictive ability has been drastically improved across the board by the use of data science in the field of financial decision making.  At The Data Incubator, we work with hundreds of companies innovating in fintech and beyond who are looking to enroll their employees in our big data corporate training or hire data scientists who graduated from our fellowship.  At Kabbage, we are dedicated to supporting the small business community and helping small business owners qualify for a line of credit in minutes with our fully automated online lending platform. Below are five applications of data science in Fintech.

Continue reading

Tweet about this on TwitterShare on FacebookShare on LinkedIn