About

Naman Jain is a highly skilled and motivated machine learning/software developer seeking full-time opportunities. He is currently a graduate student in the Department of Computer Sciences at the University of Wisconsin-Madison, where he is pursuing a Master's degree in Computer Science. With a keen interest in machine learning, big data, and distributed systems, Naman has gained valuable experience working as a Senior Software Engineer at Samsung Research. During his time at Samsung, Naman has contributed to a number of impressive projects, including the development of a CNN model with a ROC score of 0.847 using transfer learning in TensorFlow to detect if the handwritten signature is present on an ACH form. He also collaborated to create an in-house credit score for 400K customers with no credit history, implementing a lightGBM machine learning model with a 0.78 ROC score in PySpark using mobile applications meta-data. Prior to his current role, Naman worked as a Software Engineer and Software Intern at Samsung, where he designed and implemented the XGBoost model in PySpark to predict delinquent customers using customer repayment behavior. He also automated the sales metric report of Samsung Finance Plus by using AWS Lambda for pulling the required data and created an automated daily email using AWS SES, reducing manual intervention by 90%. Additionally, he built an ETL workflow that uses AWS Step Function to schedule an Amazon EMR cluster to clean and process weekly 1.5 million customer data from various formats in S3. Naman's educational background includes a Bachelor of Technology (B.Tech.) in Computer Science and Engineering from IIT Dhanbad, as well as his current pursuit of a Master's degree in Computer Science from the University of Wisconsin-Madison. His technical skills include expertise in software engineering, research science, machine learning, AWS, mobile development, TensorFlow, CNN, big data, XGBoost, Android, and ETL. With nearly five years of relevant experience, Naman is a valuable asset to any team and is eager to take on new challenges and opportunities in his field.