Data Scientist
Current- Responsible for the program that develops and implements scripts using Large Language Models for contextual keyword analysis of social media reviews that identify potential risks aligned with client interests- Integrating AI/ML tools into FRISS’s Case Management system to provide summarizations for investigators by analyzing various form of media including documents, audio, video, and images- Lead and provide guidance to data science interns and new associates on machine learning-based projects- Developed and implemented a Bayesian Inference algorithm to assist in blending ensemble machine-learning model outputs and external data sources, to generate a holistic confidence scoring system; Solution assisted in creating a new revenue stream for FRISS- Elevated the performance of pre-existing multiclass machine learning models, enabling them to effectively classify a broader range of classes while upholding a high degree of precision and recall rates- Created mappings to integrate new data services into the overarching architectural framework- Assisted in the migration of existing data sources from the test environment to the production environmentNote: This job began at Terrene Labs and transitioned into a comparable position at Friss following their acquisition of Terrene Labs in April 2021.
