High Alpha Data Scientist Charlene Tay sat down with TechPoint to share her experience working in the Indianapolis tech ecosystem.
What led you to your getting into tech and this occupation? What was your first job in tech?
My first job out of college was doing computational research in cognitive science. The research was cutting-edge and data-intensive – I had to learn and find ways to clean, manage and analyze very large amounts of data (images, audio, IoT time-series data, etc.) to build models, answer questions, and support hypotheses. I loved how computational methods can complement human intelligence, jumping in on areas where we have cognitive limitations, as well as by automating the work that must be done to prepare the way for insights and decisions. I became excited by how the field of data science is such a promising way of applying curiosity and technical tradecraft to create value from data, and I knew that I wanted to be able to use this toolbox of skills to help others. This led to me enrolling in the graduate program in Data Science at Indiana University, where I began training to become a data scientist.
