Data science is one of the most popular multidisciplinary fields and demand for data science professionals continues to grow. While data scientists are often just one member of a larger team, they have the spotlight. Many other data science professions including analysts, engineers, architects, developers, and managers are also growing and often overlooked. However, many organizations are not familiar with what they truly need and may supply an incorrect label.
What are the end results of the data science process and who's involved? Sometimes the end result is just a specific model to solve one specific problem for a business. Sometimes the end result is a novel user-friendly application for everyday users. Interactive demos will be included in this presentation.
Shane Kimble is a Data Science Developer with EdjAnalytics, Python/SQL Mentor at Code Louisville, avid acrobat, and lifetime musician. He works with clients to find solutions to data science problems, creates and contributes to open source software, and volunteers his time communicating data science topics to both technical and non-technical audiences. As a creative problem solver, he is currently working on a healthcare application that utilizes machine learning and flow diagrams. He received his B.S. in Biology in 2014 from Bellarmine University and M.S. in Computer Science in 2017 from the University of Louisville.