About

Aman Kedia is a tech enthusiast and lifelong learner with a passion for solving problems using data science and artificial intelligence. With over 5 years of relevant experience, Aman is currently working as an SDE II / MLE at Amazon, where he is involved in Advertisements Tech. Aman has a Master's degree in Computer Software Engineering from Birla Institute of Technology and Science. Aman has worked at Oracle and SAP, where he leveraged advancements in artificial intelligence to solve problems. He has also worked as an intern at ISRO, where he worked on detecting disease patterns using machine learning on time series data and clustering similarly behaving regions in Uttarakhand, India. Aman has 4 published research papers to his credit, primarily on the amalgamation of data mining and healthcare. He has also submitted 2 other works on healthcare and machine learning for publication. Aman is well-versed in Python, which is his go-to language for data science. He is also fluent in core concepts around Java, Microservices, Distributed Systems, and some other technologies. Aman has established core components such as Kafka for data pipeline in his organization and has delivered a few sessions on Data Science. Aman's current focus is on named entity recognition problems. He has worked on some state-of-the-art problems in natural language processing and is an avid believer in artificial intelligence and algorithms supporting it. Aman has an interest in data science, healthcare, and languages and is exploring how these fields are interdependent. Apart from his work, Aman is also an author of the book "Hands-On Python Natural Language Processing" published by Packt. Aman is always open to new opportunities and collaborations. You can connect with him on LinkedIn, Gmail, or his phone number.