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Ethan Kohrt

Ethan Kohrt

Data Scientist and NLP Engineer
Rochester, City of Rochester, Monroe

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About Ethan Kohrt:

I'm a recent Master's graduate from Northwestern University, looking for challenging and engaging work as a data scientist. I am well-versed in machine learning and state-of-the-art Natural Language Processing.

Experience

SKILLS

Programming Languages: Proficient in Python. Some experience in Java, JavaScript, SQL, and C#.

Tools: Scikit-learn, Keras, SpaCy, NLTK, Hugging Face, NumPy, Pandas, OpenRefine, D3.js, Excel.

Other – data visualization, regex, web scraping, Git, strong writing and presenting skills, Eagle Scout.

 

PROJECTS

BERT Knowledge Extraction – extracting knowledge triples from BERT via auto-generated prompts. 

  • Skills: hugging face, BERT finetuning, paraphrasing, implementing research papers.

Company Description Classifier – labeling company descriptions with industry tags.

  • Skills: BERT sentence embeddings, sklearn, multiclass classification, web scraping.

Recipe Time Prediction – predicting the completion time of a recipe given its text. 

  • Skills: sklearn, regression, grid search, natural language processing.

Chicago Police Data – investigating dataset of internal complaints about Chicago Police officers.

  • Skills: SQL, data exploration, data visualization, sklearn.

Environmental Science QA System – prototype question-answering system for environmental topics

  • Skills: QA systems, haystack pipeline, data collection.

 

See my portfolio page for code and many other projects.

 

EXPERIENCE

Research Assistant: Hotel Recommender System

Furman University Computer Science, Summer 2020

  • Implemented a recommender system for Walt Disney World hotels based on survey data provided by a travel agency.

 

IT Service Center Assistant

Furman University IT Service Center, January 2019 – March 2020 

  • Consulted with customers over the phone and in person to understand and resolve problems.

 

Independent Study: Escape Room Generation

Furman University Computer Science, September – December 2019

  • Pioneered methods of algorithmically generating structure and content for escape rooms.
  • Investigated techniques such as TF-IDF and word embeddings, using spaCy and NLTK.

 

Research Assistant: Realistic Character Generation

Furman University Computer Science, Summer 2019

  • Designed models for human-like values and emotions to procedurally generate realistic character behavior, for use in games and narrative generation. Showcased work at conference presentations.

Education

Master of Science: Computer Science

Northwestern University, Evanston IL. December 2022. GPA 3.50.

 

Bachelor of Science: Computer Science

Furman University, Greenville SC. May 2021/ GPA 3.56.

 

Relevant Coursework: Machine Learning, Data Science Pipeline, Data Science Seminar, Practicum in Intelligent Information Systems, Computational Linguistics, Language Models Seminar, Knowledge Representation and Reasoning, Statistics, Human-Computer Interaction, AI and Experimental Narrative, Rapid Prototyping in JS.

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