My name is Poojitha Kale and I have a master's degree in Electrical Engineering from Penn State University. My thesis was based on studying EEG signals for patients with Epilepsy. It focused on using non-linear information transfer techniques to identity seizure hotspots in the brain that are not realized through regular diagnostic tests. It was the first study to be done on human patients. During my master's, I had the opportunity to showcase my understanding of signals and my analytics capabilities through two conference publications.
Due to my interest in data science, I moved to San Francisco for a fellowship. During which I improved my skills in python and SQL. I can execute machine learning concepts to perform data analysis, predictions, forecasting, and visualizations. I also have some experience working with PySpark and Tensorflow.
In short, I am an aspiring Data Scientist with a background in Electrical Engineering. And I would love to use my skills in data science, machine learning, and technology for social good.