It's great to meet you and I just want to say thanks for stopping by!
I love building web applications, solving problems, and telling stories with data. It's great working with people who are passionate about the projects and companies they work for and who love what they do.
If you'd like to collaborate or share an opportunity please connect with me on LinkedIn and I look forward to hearing from you.
You can find a PDF version of my resume here as well.
Saint Louis, MO - Currently creating and managing a data-driven consulting tool for companies in the logistics industry. Responsibilities include team management, project scope, development enhancements, data analysis, machine learning implementation, and creation of web-based applications sharing insights directly with customers.
Costa Mesa, CA - Served as both Implementation Manager for a web-based Transportation Management Software. Successfully onboarding over 125 new customers with a 90% retention rate. Also wearing hats of QA Tester, EDI Specialist, and Training guru.
Saint Charles, MO – Managed daily operations and team of 10 – 13 employees with annual goals exceeding $2 million in revenue. Responsible for forecasting customer trends and strategic planning initiatives reporting directly to the president. Built company websites, training manuals, handbooks, and internal IT infrastructure.
Python, SQL, MongoDB, JavaScript, Java, C#, HTML, CSS, Bootstrap, VBA, Asana, Jira, Microsoft Office, and Google Suite
Here are some examples of my past work. Some for work and others for fun.
Skills assessment coming soon.
Skills assessment coming soon.
Skills assessment for Software Engineering showcasing basic JavaScript skills.
Interactive data visualizations using D3 to read data from a CSV file, add user input filter, then visualize the results.
Geographic visualization with Leaflet and Mapbox showing Earthquake data for the US.
Reading data with D3 and visualizing using Plotly and JavaScript.
Using D3 to read data and JavaScript to add dynamic user input fields for real-time data filtering.
Flask web application running python web-scraping script to pull data form various web sources using Beautiful Soup and Splinter.
Basic website built on Bootstrap for sharing data visualizations and observations.
Built a Flask application to host a SQLite database and serve an API for retrieving JSON data.
Created an ERD and Schema for new Database, imported CSV data, then captured specific data using SQL Select statements.
Using openweathermap.org API to collect geo and weather data based on city names.
Applying statistical analysis to a data set then visualizing data in Jupyter Notebook using Matplotlib.
Loading CSV data into a Jupyter Notebook using Python and Pandas to perform data cleaning and analysis.
Using python to read CSV files and perform analysis on financial and election data.