Research and create custom language models utilizing spaCy framework in conjunction with RoBERTa neural network architecture for domain adapted natural language processing (NLP) tasks.
•
Serve as lead data scientist for current market segment responsible for revamping hiring practices, team lead of six data scientists, and exploring growth opportunities for new and existing projects.
Matured NLP products focusing on name entity recognition (NER), transformers, and sentiment analysis leading to an increase of product sales by $3 million.
•
Built end-to-end machine learning pipelines, utilizing Scikit-learn for supervised machine learning (Naïve Bayes, SVM) and TensorFlow for deep learning (LSTM, RNN) models, used for text classification resulting in an increase of analyst efficiency by 33% due to automation of tasks.
•
Tested software for bugs and operating speed while documenting the process and logic of changes which helped reduce total run time of our programs by 23%.
Designed and executed actionable financial management analysis based on clients’ goals which increased average portfolios by 15%; communicated with and presented to clients and stakeholders on progress throughout the objective's life cycle.
