Syed Danish Ahmed

Syed Danish Ahmed is a Senior Data Scientist at Verisk, specializing in Generative AI and Natural Language Processing, where responsibilities include developing models for entity extraction from medical records and creating observability frameworks for large language models. Prior experience includes a role in fraud detection, focused on scoring medical providers and claims for fraudulent activities, as well as systems developed for online machine learning frameworks and unsupervised anomaly detection during tenure at PwC. Syed's background also encompasses a data science apprenticeship at Mu Sigma Inc., where notable contributions included real-time anomaly detection systems and customer support automation. Educational qualifications include a Master of Information Systems Management with a focus on Data Science from Carnegie Mellon University and a Bachelor of Engineering in Information Technology from Shri G S Institute of Technology & Science.