No BiaS Podcast

Melody Travers is the content marketer at Alegion, as well as the producer and host of NoBias. Melody is a digital content wiz; she is passionate about creating delightful, educational content, fostering meaningful connections, and engaging customers wherever they are in their machine learning journey. She is an avid reader and an accomplished singer-songwriter (you may recognize one of her songs as the NoBias theme music) recording under her stage-name Melody Chebrellan. Melody is a Fulbright fellow, has a Bachelor’s degree in Sociology from Kenyon College, and a Master’s degree in Philosophy at the University of Potsdam, Germany.

Nikhil Kumar is currently the senior data scientist in the research division at Alegion. Nikhil’s work includes building machine learning models to support Alegion’s customer’s use cases, the management of A/B testing product features, analytics around use case performance, and researching new methodologies to implement and improve business growth. Prior to Alegion, Nikhil worked at various consulting firms as well as other tech start-ups building enterprise data science solutions. As a researcher, his interests include applying reinforcement learning to facilitate how experimentation is done, developing methods to measure worker scoring and reputation, as well as identifying how machine learning modeling could be used to predict key business metrics, something he is passionate about. He also co-founded and co-hosts “No Bias,” a podcast on machine learning and AI. Nikhil holds a master’s degree in statistics from Carnegie Mellon University, where he also received his bachelor’s degree.

Saurabh is the applied machine learning engineer with a focus on computer vision for Alegion’s research division. His role involves developing computer vision and deep learning algorithms to support our customer’s use cases. He works closely with engineers to develop and deploy computer vision models that are used by our customers. His research interests include using TensorFlow to develop deep learning algorithms, implementing modern computer vision algorithms to solve business problems, as well as medical image processing. Prior to working at Alegion, he has worked in tech start-ups in the medical imaging space. Saurabh is most passionate about solving problems related to perception and machine vision using the power of artificial intelligence. He has a bachelor’s degree in biomedical engineering from the University of Mumbai, and a master’s degree in biomedical engineering from Arizona State University with a focus on image processing.