Extensive experience coding creatively in Python and manipulating data in Pandas. Numpy, Scipy, wide variety of libraries. Jupyter Notebook, Atom, Git, Github
Supervised: Regression/Classification, Ensemble Methods in Sklearn; Unsupervised: Clustering; Neural Networks (CNNs, RRNs, LSTMs), Keras, TensorFlow; Model Tuning.
Matplotlib, Seaborn, Tableau, Bokeh, Plotly, Chartify. Exploratory Data Analysis. Passionate about designing simple, cogent visualizations that reveal key insights.
Experience querying large databases with SQL. Executing filters, GROUP BY, joins. Familiar with PostgreSQL, MySQL.
Scala, Hadoop, Spark, Running instances on Amazon Web Services, Google Cloud, Docker.
NLP Model Building, Tokenization, Vectorization, Regex, Word Embeddings, RRNs, LSTMs, Up to date with recent developments (Elmo, BERT, Ulmfit).
Building and cleaning data sets in many formats, APIs, Web Scraping, Data wrangling in Pandas, Preprocessing, Feature Engineering/Elimination, PCA, Imputation, Excel.
Six-month web design internship at Granite Associates in New York. HTML, CSS, Javascript, Flask. Graphic design hobbyist, strong in Photoshop, Illustrator.
B.S. Neurobiology. Extensive work contributing to research papers and analyzing data in healthcare environments. Extensive experience with patient care.
Literary magazine editor through college, contributing author on multiple papers in healthcare positions, strong verbal and written communication skills.
Feel free to reach out with any questions or inquiries about my work, opportunities, or whatever else.