Healthcare Data and Its Uses: Dataiku's Pierre Gutierrez Talks Medicare Open Data and Its Potential Applications

Updated: Sep 19, 2015

Topic:

Medicare open data and its potential applications, with a focus on outliers, fraud, and impacts of companies’ payments on doctor prescriptions. All data wrangling and modeling done using SQL and Python.

Speaker Bio:

Pierre Gutierrez is a senior Data Scientist at Dataiku. He has experience in topics such as fraud detection, predictive maintenance, recommender systems, smart cities, and healthcare.

If you are hiring Data Scientists, call us at +1-888-752-7585 (USA) or reach us at info@nycdatascience.com to share your openings and set up interviews with our excellent students.

Vivian Zhang

Vivian is the CTO and School Director of NYC Data Science Academy and CTO of SupStat. With her extensive experience working in the data science field, she developed expertise in multiple programming languages, including R, Python, Hadoop, and Spark. In August 2016, Forbes ranked her amongst one of the nine women leading the pack in data analytics. In 2013, she created the NYC Open Data Meetup group, which stands as one of the largest data science communities offering meetups, conferences, and a weekly newsletter. In her spare time, Vivian enjoys meeting people and sharing her motivational stories with our students and other professionals

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Healthcare Data and Its Uses: Dataiku's Pierre Gutierrez Talks Medicare Open Data and Its Potential Applications