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Heroku Apps\n    *  [GHCN Weather Stations](https://ghcn-mapping-stations-39b8729885c5.herokuapp.com/)  Query a database of weather stations in the GHCN archive based on location.  \n    The [github repo](https://github.com/douglasdrake/GHCN-stations) for this project.\n    *  [Biodiversity Dashboard](https://bb-diversity-app-4e1679014ed8.herokuapp.com/)  Visualization of bacterial biodiversity of belly buttons.  The [github repo](https://github.com/douglasdrake/myheroku) for this project.\n2.  Data Visualizations\n    * [Inventory dashboard](https://douglasdrake.github.io/inventory-dashboard/).  An HTML dashboard\n    of station data available in the GHCN Archive.\n    The [github repo](https://github.com/douglasdrake/inventory-dashboard) for the dashboard \n    include Jupyter notebooks that download the data, clean and merge data frames, and produce the plots.\n    * [Latitude](https://douglasdrake.github.io/weather/).  An HTML dashboard of meteorological data.  \n    The [github repo](https://github.com/douglasdrake/weather) for the dashboard and \n    the [github repo](https://github.com/douglasdrake/WeatherData).\n    for the methods used to collect the data.\n    * [Geological Data](https://douglasdrake.github.io/geojson/).  \n    A Leaflet map of earthquake activity.  The [github repo](https://github.com/douglasdrake/geojson) for this data.\n3.  ETL\n    * [Web scraping and ETL](https://dkloepper.github.io/ncs1ml/index.html) As part of a group project, [my role](https://github.com/Justinmatt21/NCS-1MLProject/blob/master/dougstuff/Data%20Preparation.pptx) involved webscraping data, data cleaning, and fitting a predictive model\n    with the results.  The [github repo](https://github.com/Justinmatt21/NCS-1MLProject/tree/master/dougstuff).\n\n# Skills\n1.  Programming Languages\n    * Python, R, VBA, JavaScript, C, Lisp\n2.  Tools for Visualization\n    * matplotlib, seaborn, R base graphics, lattice, ggplot2, Plot.ly, D3, Leaflet.\n3.  Database\n    * SQL, DuckDB, PostgreSQL, MongoDB\n4.  Tools for Data Analysis\n    * [R](https://www.r-project.org/), [Pandas](https://pandas.pydata.org/), \n    [SciPy](https://www.scipy.org/), [StatsModels](http://www.statsmodels.org/stable/index.html) \n5.  Tools for Machine Learning and Predictive Model Building\n    * [scikit-learn](https://scikit-learn.org/stable/), [Keras](https://keras.io/), [caret](http://topepo.github.io/caret/index.html)\n6.  Web design\n    * HTML, CSS, JavaScript\n\n# Education\nI completed the Data Visualization and Analytics Boot Camp at the University of Minnesota.\nI have a MS in Statistics from the University of Minnesota and a BS in Mathematics from the Univerity of Nebraska-Lincon.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdouglasdrake%2Fdouglasdrake.github.io","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdouglasdrake%2Fdouglasdrake.github.io","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdouglasdrake%2Fdouglasdrake.github.io/lists"}