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Health care risk assessment | Performed exploratory data analysis on NY mental care data to inspect factors that influence severe mental illness. I also developed a classification model that has +80% accuracy 

https://github.com/qweliant/PCSstudy

c4ads | Used big data tools such as AWS SageMaker, S3,  EC2, and EMR, Hadoop, Spark, and Livy  to investigate potential cases of dual use nuclear material being exported by Russian companies. This involved collaborating with  other members and providing NLP solutions to 70GB of trade information. 

• Data cannot be released

TRACE Lab website | Implemented design for front page using JSX. I also automated infrastructure to pull data for research papers.

https://computing.clemson.edu/trace/

transformer API + metavisuo (DEV) | Created an API using the huggingface transformer package and FastAPI. I connected this to a React front end application that enabled text generation, generative chat dialog, sentiment analysis, and named entity recognition.

https://github.com/qweliant/chatsumeapi

https://github.com/qweliant/metavisuo-frontend

Feauxlosophy (DEV) | Generate conversational text from multiple agents that are selected by a user in a nextjs client. Uses MongoDB for storing text, GPT-2 transformer for text generation and DialoGPT for conversation.

https://github.com/qweliant/nlp_api

Saltiest Hacker | Created a data pipeline in Django for pulling Hackernews api data, running sentiment analysis, and storing results in a SQL database

https://github.com/Saltiest-Hacker-News-Trolls-2/DS