Mudit Dham
About Mudit Dham
Mudit Dham is a Data Scientist II at Expedia Group with extensive experience in machine learning, data visualization, and neural network architectures.
Title: Data Scientist II
Mudit Dham currently holds the position of Data Scientist II at Expedia Group. His tenure at the company began in 2021, and he works out of Seattle, Washington, United States. In his role, Mudit utilizes his extensive expertise in machine learning frameworks, data visualization, and various data science techniques.
Previous Roles at Syracuse University
Before joining Expedia Group, Mudit Dham worked at Syracuse University. He served as a Faculty Assistant at the School of Information Studies in early 2021 for a period of four months. Additionally, he was a Graduate Student Assistant at the College of Engineering and Computer Science from 2019 to 2020, where he accumulated 11 months of experience.
Roles at imec USA and Rolls-Royce
Mudit Dham also has industry experience from imec USA and Rolls-Royce. At imec USA, he was an Intern for four months in 2020 in Kissimmee, Florida. Prior to that, he served as a Data Scientist at Rolls-Royce in Bengaluru, Karnataka, India, from 2017 to 2019, where he worked for two years.
Educational Background in Computer Science and Business Management
Mudit Dham holds a Master of Science (MS) in Computer Science from Syracuse University, completed between 2019 and 2021. He also earned a Bachelor of Technology (BTech) in Computer Science from Symbiosis International University from 2011 to 2015. In addition, he has a Diploma in Business Management (DBM) from Symbiosis Institute of Business Management, obtained between 2012 and 2015.
Expertise in Machine Learning and Data Science
Mudit Dham is well-versed in a variety of machine learning frameworks such as Keras, PyTorch, and TensorFlow. He has advanced skills in data visualization tools including Tableau, PowerBI, and Tibco Spotfire. His knowledge extends to neural network architectures like CNNs, LSTMs, and Auto Encoders. Additionally, he is proficient in programming languages and databases such as Python, Java, and NoSQL, and specializes in data science techniques including regression, classification, and clustering.