MThorpester
Data-driven Product Manager with 15+ yrs experience bringing SaaS and AI products to market. Aspiring Data Analyst that enjoys finding useful patterns in data.
Code for America
Pinned Repositories
form-flow
A Java library placed in a Spring Boot app to generate form flows.
form-flow-starter
biodiversity-challenge
Interactive dashboard for exploring microbial diversity. Built using Plotly, Javascript, D3.js and HTML, the dashboard visualizes a dataset that catalogs the microbes colonizing human navels from the Belly Button Biodiversity project.
California-Wildfires
A dashboard to analyze & visualize historical California wildfire incident data and identify trends, using our Wildfire 1.0 API. Created using csv2json, PostgreSQL, NodeJS, Plotly, Leaflet, Bootstrap, Javascript, HTML and CSS.
COVID-Vaccinations-ETL-Project
Extracts, transforms and loads COVID-19 vaccination data from multiple sources into a consolidated PostgreSQL database using Python, Pandas, Psycopg, Jupyter Notebook and SQL Alchemy.
D3-Challenge
Analyzes & visualizes current COVID-19 vaccination and infection rates across the US to better understand state level trends.
github-slideshow
A robot powered training repository :robot:
python-api-challenge
Worldwide weather analysis & vacation destination selection. Creates & visualizes a world weather model using Python, Pandas, Matplotlib and the Open Weather Map API. Locates ideal vacation destinations using Google Places API and Jupyter-gmaps.
Web-Design-Challenge
Website showcasing the findings of the "Anxiety and Depression in the time of COVID-19" project, where we explored the relationship between COVID-19 and mental health in the US.
Wildfire-Detection
This project creates a convolutional neural network (CNN) to monitor PTZ fire camera images in real-time and detect early signs of wildfire. Created using Keras-Tensorflow, Flask, OpenCV, Pillow, Python, JavaScript, Bootstrap, HTML and CSS.
MThorpester's Repositories
MThorpester/Web-Design-Challenge
Website showcasing the findings of the "Anxiety and Depression in the time of COVID-19" project, where we explored the relationship between COVID-19 and mental health in the US.
MThorpester/biodiversity-challenge
Interactive dashboard for exploring microbial diversity. Built using Plotly, Javascript, D3.js and HTML, the dashboard visualizes a dataset that catalogs the microbes colonizing human navels from the Belly Button Biodiversity project.
MThorpester/California-Wildfires
A dashboard to analyze & visualize historical California wildfire incident data and identify trends, using our Wildfire 1.0 API. Created using csv2json, PostgreSQL, NodeJS, Plotly, Leaflet, Bootstrap, Javascript, HTML and CSS.
MThorpester/python-api-challenge
Worldwide weather analysis & vacation destination selection. Creates & visualizes a world weather model using Python, Pandas, Matplotlib and the Open Weather Map API. Locates ideal vacation destinations using Google Places API and Jupyter-gmaps.
MThorpester/COVID-Vaccinations-ETL-Project
Extracts, transforms and loads COVID-19 vaccination data from multiple sources into a consolidated PostgreSQL database using Python, Pandas, Psycopg, Jupyter Notebook and SQL Alchemy.
MThorpester/D3-Challenge
Analyzes & visualizes current COVID-19 vaccination and infection rates across the US to better understand state level trends.
MThorpester/github-slideshow
A robot powered training repository :robot:
MThorpester/javascript-challenge
This project uses Javascript, HTML and CSS to dynamically generate a searchable table of UFO sightings.
MThorpester/sqlalchemy-challenge
Climate analysis and data exploration of a climate database. Analysis is done using Python Pandas, Matplotlib and SQLAlchemy. API for querying climate data is built using Flask.
MThorpester/Wildfire-Detection
This project creates a convolutional neural network (CNN) to monitor PTZ fire camera images in real-time and detect early signs of wildfire. Created using Keras-Tensorflow, Flask, OpenCV, Pillow, Python, JavaScript, Bootstrap, HTML and CSS.
MThorpester/jupyterlab-toc
Table of Contents extension for JupyterLab
MThorpester/Kickstarter-Excel-Challenge
Analysis & visualization of Kickstarter campaign data: what are the characteristics of a successful campaign?
MThorpester/matplotlib-challenge
This study compares the performance of Pymaceuticals' drug of interest, Capomulin, versus several other treatment regimens.
MThorpester/pandas-challenge
Analyzes School District data and reports on key trends in school performance.
MThorpester/python-challenge
Contains both the PyBank and PyPoll projects.
MThorpester/sql-challenge
Data engineering & analysis of historical employee data.
MThorpester/VBA-challenge
This VBA script loops through several years of stock data summarizing each stock's activity for the year & identifying stocks with extreme performance profiles.
MThorpester/web-scraping-challenge
Scrapes various websites for data related to the mission to Mars using Splinter and Beautiful Soup, stores it in a MongoDB database, and displays it on a consolidated web page.