Work Experience

She began her career as a data scientist in 2012 while earning her master's degree in Quantitative Analytics and has been a federal consultant since 2016 for clients like the IRS, Veterans Affairs, etc. Her skills are most predominantly in predictive modeling, artificial intelligence, natural language processing, topic model, trend analysis, frequent pattern mining, machine-learning, deep-learning, cluster analysis. Her primary programming language is Python but she also has extensive experience with non-object-oriented languages like SAS and SQL. Most notably, however, she is a passionate teacher who loves to share her knowledge with the world!