PyData NYC 2022

Lawrence Wilson Gray

Dr. Gray is the Head of Data Science at KPMG Spark, where he builds predictive products with machine learning and Python that are reinventing how Bookkeepers work. He teaches Data Science and Data Analytics at Georgetown University. He is also a frequent volunteer and committee member for PyData, PyCon, and NumFocus. He is a core contributor and maintainer for the open-source software Project, Yellowbrick. He earned his Ph.D. from Johns Hopkins University, School of Medicine in Cellular and Molecular Physiology.

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20 ideas to build social capital in the Data Science ecosystem
Lawrence Wilson Gray

We are all trying to establish ourselves and stand out in the ever-competitive Data Science ecosystem. What if we could do it in a way that benefits both us as individuals and the Data Science community? This talk will discuss a range of ideas for building confidence and brand for novice and experienced Data Enthusiasts. Simply attending PyData NYC is a stepping stone for a beginner, whereas selecting to appear on a panel to discuss an open-source project could be an adventure for someone with more expertise. However, both pursuits put you on the correct path to achieving these goals. I will tell the story about my search for my place in the Data Science ecosystem, and I would like to assist you in finding yours. Building social capital doesn’t have to be a selfish endeavor. You should approach these opportunities with humility and honesty, and you should strive to build long-term, mutually beneficial relationships with the people you meet. Most importantly, be your most authentic self.

Central Park West (6th floor)