As a data scientist and data analyst, I have 3+ years of experience applying Python, SQL, and machine learning to a variety of data-related projects. These projects have involved identifying patterns, as well as prediction and classification tasks. I am deeply passionate about delving into data to uncover insights that can drive business decisions and improve outcomes.In my most recent role as a Fraud Prevention Analyst II at FIS, I detected fraud patterns in transaction data and developed strategies to prevent financial losses for clients. I am now eager to apply my data analytics and machine learning skills in a challenging and rewarding environment.