Daniel Gibbs

Data Scientist with Python

Lebanon, NH, United States

Summary

Stanford Ph.D. Skills include Python, Machine Learning, NLP, Deep Learning, Data Analytics, Data Visualization. Strong interest and experience in NLP. Latest remote projects: 1) National Bureau of Economic Research (NBER) - NIH funded NLP medical bibliographic research with University of Illinois at Chicago. National Library of Medicine APIs. 2) Developed NLP system for e-commerce company to compare product titles using Named Entity Recognition to create new entity types for client's UI. Developed custom parser in Python to convert input data to neural network training format. NLP, spaCy, NER, Neural Networks, Python.
Current favorite book: Deep Learning with Python, Francois Chollet

Languages:

English

Favorite Python Packages:

Numpy, Pandas, Keras, Tensorflow, Scikit-learn, Matplotlib, Seaborn

Skills

Amazon Web Services (AWS), Artificial Intelligence, Data Science, Machine Learning, Natural Language Processing, NumPy, Pandas, SciPy, Spark, TensorFlow, Visualization