Michael Picard

Background

About Michael Picard

I am a data scientist with experience building and deploying machine learning models. Projects I have worked on include drug recommendation systems and synthetic data generation. I have degrees from the School of Engineering in Computer Science and the College of Liberal Arts and Sciences in Economics and Geography from the University of Connecticut. Languages: Python, SAS, SQL Computational: Anaconda, Docker, Git, Jenkins, Jupyter, PyTorch, Scikit Learn, SciPy, Statsmodels Visualization: Matplotlib, NumPy, Scikit-plot, Seaborn Techniques: Conditional Tabular Generative Adversarial Network (CTGAN), K-Means Clustering, Linear Regression, Logistic Regression, Natural Language Processing, Neural Networks, Principal Component Analysis, Random Forest Classification, Time Series Big Data Architecture: Elasticsearch, Microsoft Azure