Jeffery Brown
Applying Technical Leadership, Experience, Tools and Techniques to Real World Challenges
Technologies Used
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Python, Deep Learning, Neural Networks, Artificial Intelligence, Jupyter Notebook, Keras, Machine Learning, Sci-Kit Learn, Classification, Regression, Matplotlib, Kaggle, Image Augmentation, Flask, SQL, SQLAlchemy, SQLite, Postgres, ETL (Extract/Transform/Load), JavaScript, D3, Leaflet, Plotly, Linear Regression, Heroku, Data Munging, Tableau, Dataset Generation, Power BI, NoSQL, PyMongo, MongoDB, Web Scraping, BeautifulSoup, Splinter, HTML, CSS, Bootstrap, Excel VBA
Projects
| Project | Links | Description | Technologies |
|---|---|---|---|
| Deep Learning Notes | [GitHub], [Visualizations] | Notes and Code Snippets for Deep Learning (Neural Networks) created by me or collected and enhanced | Python, Deep Learning, Neural Networks, Artificial Intelligence, Jupyter Notebook, Keras, Machine Learning, Sci-Kit Learn, Classification, Regression, Matplotlib |
| Diabetic Retinopathy Detection | [GitHub], [Report/Analysis] | Convolutional Neural Network used to classify retinal images for various stages of diabetic retinopathy, a disease which can lead to blindness | Python, Deep Learning, Neural Networks, Kaggle, Keras, Artificial Intelligence, Image Augmentation, Classification, Jupyter Notebook, Machine Learning, Sci-Kit Learn, Matplotlib |
| GeoTweet | [GitHub], [Summary(pdf)], [Visualization] | Full-stack Interactive Dashboard of Twitter Trends | Python, Jupyter Notebook, Flask, SQL, SQLAlchemy, SQLite, Postgres, ETL (Extract/Transform/Load), JavaScript, D3, Leaflet, Plotly, Machine Learning, Linear Regression, Heroku |
| CitiBike | [GitHub], [Data Munging], [Visualization], [Tableau (twbx)] | Analysis and Visualization of CitiBike Usage in the Jersey City Area | Python, Jupyter Notebook, Data Munging, Tableau |
| Machine Learning Notes | [GitHub], [Visualizations] | Notes and Code Snippets for Machine Learning (supervised, unsupervised) created by me or collected and enhanced | Python, Keras, Neural Networks, Jupyter Notebook, Machine Learning, Sci-Kit Learn, Dataset Generation, Regression, Classification, Matplotlib |
| CommTrends (Exploration) | [GitHub] | An analysis of telecommunications trends in the U.S. | Python, Jupyter Notebook, Flask, SQL, SQLAlchemy, Postgres, JavaScript, D3, Leaflet, Plotly, Machine Learning, Sci-Kit Learn |
| Earthquake | [GitHub], [Visualization (D3)], [Power BI (pbix)] | Visualization of Recent Global Earthquake Activity | JavaScript, D3, Leaflet, Power BI |
| I Was Poisoned | [GitHub], [Summary] | Extract/Transform/Load operations to support analysis of Food Poisoning incidents vs. Food Inspections | Python, Jupyter Notebook, NoSQL, PyMongo, MongoDB, ETL (Extract/Transform/Load), Web Scraping, BeautifulSoup, Splinter |
| Weather by Latitude | [GitHub], [Analysis], [Visualization] | Analysis of Variation in Weather at various Latitudes | Python, Jupyter Notebook, Matplotlib, HTML, CSS, Bootstrap |
| Mars News | [GitHub], [Sample] | Mars News Site, generated through Web Scraping and rendered as a responsive page | Python, Jupyter Notebook, Flask, PyMongo, NoSQL, MongoDB, Web Scraping, BeautifulSoup, Splinter |
| Health Risks | [GitHub], [Visualization] | Visualization of Health Risks, including D3 Animation | JavaScript, D3 |
| Biodiversity | [GitHub], [Visualization] | Visualization of Bacterial Biodiversity | Python, Jupyter Notebook, Flask, SQL, SQLAlchemy, SQLite, D3, Plotly, Heroku |
| Stock Reports | [GitHub] | Generation of Stock Performance Reports using MS Excel VBA | Excel VBA |