Data Scientist
Current- Led development of a significant model update in PyTorch converting a binary model with ambiguous classes to a multinomial model that better fits the current and future use case while increasing the ability to test the.
- Collaborated with team members and product team to develop a method for ordering the output of an anomaly detection algorithm based on uncertainty for a better customer experience.
- Developed KPI’s for a key model that reflect downstream impact… Show more
- Developed KPI’s for a key model that reflect downstream impact which included developing a model to reduce the amount of data to be labeled and coordinating with a third party company for labeling.
- Audited internal training data to understand the scale and impact of poor training samples on our model, which led to an effort to monitor new and existing training data.
- Implemented content similarity method using Word2Vec embeddings in SQL to improve robustness of internal topic similarity process and reduce onboarding time for new employees.