Abstract: 

The speaker will review case studies from real-world projects that built AI systems using Natural Language Processing (NLP) in healthcare. These case studies cover projects that deployed automated patient risk prediction, automated diagnosis, clinical guidelines, and revenue cycle optimization. He will also cover why and how NLP was used, what deep learning models and libraries were used, and what was achieved. Key takeaways for attendees will include important considerations for NLP projects including how to build domain-specific healthcare models and using NLP as part of larger and scalable machine learning and deep learning pipelines in distributed environment.

Bio: 

A seasoned data scientist with strong background in every aspects of data science including machine learning, artificial intelligence and big data with over ten years of experience. He has been working in Data Science field for the last decade and have a great deal of hands-on experience in real life problems. For the time being, he remotely works as a Senior Data Scientist at John Snow Labs, based in USA as well as running several other Data Science projects for the other companies. He also works on multiple projects for the time being and provides hands-on consulting services in Data Science, Machine Learning, AI, Big Data, Cloud Architecture and DevOps to the several start-ups, bootcamps and companies around the globe. He is the instructor of several online courses in Data Science and also pursues his PhD in ML and gives lectures in Distributed Data Processing and Automated ML at Leiden University, NL. As a volunteer activity, he teaches Data Science and provides career counseling in two different Data Science Bootcamps.

In recognition of his contributions to Machine Learning community and his enthusiasm of mentorship & guidance in teaching Data Science, he got accepted into Google Developer Expert (GDE) in Machine Learning program as the only one who has a GDE in ML title in Netherlands.