Implement statistical models and provide analytical solutions to model marketing behaviors as part of Data Science - Watson Marketing Solution, IBM Watson Customer Engagement.
As part of the non-profit AI4ALL, mentored high school students to create a program to prioritize 911 Emergency Medical Services calls using Natural Language Processing.
Performed data analysis and scripting for bioinformatics identification of genomic breakpoint sites using RPA-ChIP and BrITL.
Built a pipeline in Python to extract customer interaction data. Applied Natural Language Processing and Machine Learning to detect patterns and deliver insights into customer issues. Used MongoDB, PyMongo, SpaCy, NLTK, Gensim, Word2Vec, D3.
Interned with the Fundamental Research Group to develop a distribution platform for course synchronization for the MOOC platform edX.