• Machine learning (random forests, neural networks, support vector machines, recommender systems, etc.)
• Statistics (in-ference, regression, Bayesian statistics, multivariate analysis, etc.)

Computing Skills

• Programming Languages: Python, Julia, R
• Data Visualization: Plotly, Tableau, Shiny
• Deep Learning: TensorFlow
• Big Data: PySpark
• Bayesian Analysis: PyMC
• Other Data Analysis: SPSS, Google Analytics
• Other Languages: SQL, HTML, CSS, LATEX

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