• 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.