Daniel Cheng

Languages/Packages: Python, PyTorch, HTML, CSS, SQL, R, RegEx, torchtext, torchaudio, Wav2Vec2, OpenNMT, Seaborn, Altair, bs4, Matplotlib, Scikit-learn, pulp, networkx, NLTK, GGplot, dpylr, tidyverse, ElasticSearch, FST (foma), crfsuite, spaCy, gensim, numpy, geopandas, Docker, FastAPI, Kubernetes, MongoDB, Git/Github
Programs: Git/Github, Atlassian (JIRA, Confluence), Microsoft Suite, Adobe Creative Cloud, PostgreSQL
Spoken languages: English (Native), Cantonese (Conversational), Mandarin (Conversational)

Masters in Data Science - Computational Linguistics (NLP) Relevant Coursework:

• Descriptive Statistics and Probability, Data Visualization, Feature Engineering and Model Selection
• Statistical Inference and Computation, Supervised Learning, Regression
• Database & Data Retrieval, Algorithms & Data Structures
• Parsing Computational Linguistics, Computational Semantics, Unsupervised Learning, Corpus Linguistics
• Computational Morphology, Machine Translation, Sentiment Analysis, NLP for Low-Resource Languages

Project Portfolio