Mick Nassar

After becoming a part of Cigna, I collaborated with my team to launch a new project called Adverse Events that I successfully pitched to management. I designed a Spark K-Means classifier running on Spark NLP embeddings generated from unlabeled free text transcripts of patient phone calls to identify words indicative of an Adverse Event. This product will improve patient safety, aid the company in meeting contractual obligations and significantly expand an existing revenue stream.

Using a KNN classifier handwritten in Scala using Hamming distance, I created a solution to determine the benefit type to bill on a prescription from a historical train set. Manually performing this billing nuance incorrectly costs the company $30 million every year.

I created an enterprise API written in Java around a legacy product called Oracle Advanced Queue. It facilitates enterprise-wide patient eligibility searches to ensure that a patient has active insurance before dispensing specialty prescriptions.