New York Life | May 8, 2019
The mission of New York Life’s Center for Data Science and Analytics (CDSA) is to deliver data science and artificial intelligence expertise, solutions, and education to the company and support automated, data analytics-driven decisions. In addition to the team’s work on behalf of New York Life, many of our data scientists compete in data science competitions in their personal time as well.
These contests, hosted by Google Cloud-owned online platform Kaggle, attract data scientists from around the globe who vie for recognition that can span from bragging rights to over $1 million prizes. Companies and research institutions regularly leverage Kaggle to pose challenges to the broader data science community that they are not able to solve internally, to identify talent, or to simply gather new and novel solutions.
Consistently finishing high in competitions throughout 2018, New York Life actuary and data scientist Carlos Brioso’s machine learning expertise and creativity earned him a ranking in the top one percent of over 96,000 data science competitors worldwide. For this, he was recognized as a 2018 Kaggle Competition Master, a milestone achievement in data science mastery.
Carlos was also the highest ranked participant from the 2018 Society of Actuaries (SOA) Kaggle Involvement Program which encourages actuaries to participate in these competitions. He was the only SOA member to attain the Master title and is now eligible to compete in Kaggle’s exclusive Master-Only competitions.
A powerful testament to the quality and expertise of our team, this is an outstanding achievement by Carlos, especially considering that he was actively competing and working full time.”
-Glenn Hofmann, head of New York Life’s Center for Data Science and Analytics
According to Carlos, the best part of the experience is the learning opportunity. “Working with other data scientists can be very rewarding,” he explains. “Reading other people's work from their code and understanding their approaches provide rich learning lessons. As an example, taking two dissimilar approaches to a data science problem can lead to even better predictive results."
Glenn Hofmann, head of New York Life’s Center for Data Science and Analytics, adds, “A powerful testament to the quality and expertise of our team, this is an outstanding achievement by Carlos, especially considering that he was actively competing and working full time. We wish him well as he continues to compete while also bringing his expertise to New York Life.”
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