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https://github.com/douglasdrake/douglasdrake.github.io

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# Doulas Drake Bio

# Introduction

# Projects
1. Heroku Apps
* [GHCN Weather Stations](https://ghcn-mapping-stations-39b8729885c5.herokuapp.com/) Query a database of weather stations in the GHCN archive based on location.
The [github repo](https://github.com/douglasdrake/GHCN-stations) for this project.
* [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.
2. Data Visualizations
* [Inventory dashboard](https://douglasdrake.github.io/inventory-dashboard/). An HTML dashboard
of station data available in the GHCN Archive.
The [github repo](https://github.com/douglasdrake/inventory-dashboard) for the dashboard
include Jupyter notebooks that download the data, clean and merge data frames, and produce the plots.
* [Latitude](https://douglasdrake.github.io/weather/). An HTML dashboard of meteorological data.
The [github repo](https://github.com/douglasdrake/weather) for the dashboard and
the [github repo](https://github.com/douglasdrake/WeatherData).
for the methods used to collect the data.
* [Geological Data](https://douglasdrake.github.io/geojson/).
A Leaflet map of earthquake activity. The [github repo](https://github.com/douglasdrake/geojson) for this data.
3. ETL
* [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
with the results. The [github repo](https://github.com/Justinmatt21/NCS-1MLProject/tree/master/dougstuff).

# Skills
1. Programming Languages
* Python, R, VBA, JavaScript, C, Lisp
2. Tools for Visualization
* matplotlib, seaborn, R base graphics, lattice, ggplot2, Plot.ly, D3, Leaflet.
3. Database
* SQL, DuckDB, PostgreSQL, MongoDB
4. Tools for Data Analysis
* [R](https://www.r-project.org/), [Pandas](https://pandas.pydata.org/),
[SciPy](https://www.scipy.org/), [StatsModels](http://www.statsmodels.org/stable/index.html)
5. Tools for Machine Learning and Predictive Model Building
* [scikit-learn](https://scikit-learn.org/stable/), [Keras](https://keras.io/), [caret](http://topepo.github.io/caret/index.html)
6. Web design
* HTML, CSS, JavaScript

# Education
I completed the Data Visualization and Analytics Boot Camp at the University of Minnesota.
I have a MS in Statistics from the University of Minnesota and a BS in Mathematics from the Univerity of Nebraska-Lincon.