Charlie Guthrie's Email & Phone Number

💼 Past Experience

Charlie Guthrie is currently a Statistician at Yleana Leadership Academy from June 2015 to July 2015 (2 months) in Hamilton, NY. A project for a nonprofit test-prep academy serving underprivileged youth. Designs and builds an individualized student dashboard, including recommended study topics for each student based on analysis of previous assessments. Works with engineer partners to publish dashboard. Develops model to identify ambiguous cases, which realigned team to focus on improving accuracy in more actionable, straightforward cases. Data Scientist at Facebook from July 2017 to March 2019 (1 year 9 months) in Menlo Park, CA. On Community Integrity team, which enforced content policies, removing porn, hate speech, and other bad behavior from 40M jobs per month. Empowered team to reduce errors by designing and prototyping system for tracking accuracy of our automated and human reviewers. Using expert reviewers to establish ground truth, I determined appropriate metrics, sampling distribution, and headcount requirements to achieve reliablemetrics. Worked with engineer partners to publish dashboard. Developed model to identify ambiguous cases, which realigned team to focus on improving accuracy in more actionable, straightforward cases. Data Scientist (part-time consultant) at Audible, Inc. from January 2017 to May 2017 (5 months) in Jersey City, New Jersey. Natural language processing research at leading audiobook provider. Clustered user comments and identified representative samples. Built model to extract keywords from Audible’s entire library of books to tagfor search. Experimented with automatic summarization of books. Data Science Consultant / Intern at Cadent from June 2016 to August 2016 (3 months) in New York, New York. TV & digital advertising network. Used variational auto-encoding to simulate & preserve sensitive data, critical for our forecasting models. Overhauled design of ad forecasting system. Data Visualization Engineer at The New York Times from May 2013 to May 2015 (2 years 1 month) in New York City.• Developed online interactive visual dashboard system used for business intelligence analytics and reporting company-wide. Replacing ad-hoc emailed reports, the dashboard provides automated, up-to-date business metrics such as total subscribers, downloads, and page views.• Created live-updating dashboard of graphics describing how people use nytimes.com, including most popular articles and referrers.• Prototyped visualization-oriented report for ad clients.• Provided ad-hoc and regular reports.

🎓 Education

Charlie Guthrie has a Master of Science in Data Science from New York University in 2014. Guthrie then went on to attend Dartmouth College, where he earned a B.A. in Mathematics in 2003. Guthrie has a noteworthy background in education, having earned a Master of Science in Data Science from New York University in 2014. Guthrie is presently a data scientist at Amazon.com where he coordinates business operations. Guthrie is qualified for this job because he has a Master of Science in Data Science from New York University and a B.A. from Dartmouth College. Guthrie is also experienced in business operations, having been a data scientist at Amazon.com from 2014 to 2017.

💡 Technical & Interpersonal Skills

From September of 2014 to May of 2017, Charlie Guthrie was a senior data scientist at New York University. During this time, he worked on a variety of technical projects. One of these projects was analyzed and analyzed customer data to find peaks and valleys in customer behavior. Additionally, he also developed a model that determined whatnot to include in customer data in order to achieve accurate predictions. Additionally, he also helpeddeveloped a live-updating dashboard of graphics describing how people use New York University’s website, including most popular articles and referrers. bottlenecksOne of the biggest challenges Charlie Guthrie faced during this time was his own personal backlog. In his previous job, he had a cluttered work space and was constantly being swamped by new requests. Since starting at New York University, Guthrie has now been given more of an organized work space and is able to focus on his own work. He has also been taught how to use machine learning, inference, and statistics in order to automate his own tasks and help others. Guthrie is long past his current belief that any individual can be a data scientist. He instead believes that everyone has the potential to be a data scientist and has helped hundreds of people learn this skill.