Samuel Konstanty

Samuel Konstanty is currently a Data Scientist at Loopback Analytics, where responsibilities include serving as the Lead Architect for the Therapy Specific Outcomes Coalition initiative, specializing in natural language processing (NLP) to enhance Real World Data studies, and contributing to the development of a data pipeline in Databricks. Previous roles at Loopback Analytics include Solutions Data Analyst and Data Science/Machine Learning Intern, focusing on creating Power BI dashboards and developing machine learning models. Samuel’s experience also includes research at the Texas Biomedical Device Center and as an Undergraduate Research Assistant at the University of Texas at Dallas. Samuel holds a Master's degree in Computer Science and a Bachelor's degree in Biomedical/Medical Engineering from the University of Texas at Dallas.