A minor project to play with learning Networkx and Reportlab.
Many companies included mine, were and are going through Agile Transformation. I made this chart to remember the terminologies and a break from bigger project.
Having been in Design and Manufacturing, I've found my liking in Agile Manifesto (People and Interaction over Process and Tools) and the Kanban method work really well in many circumstances.
Skills used: Python (Reportlab, Networkx, PyGraph, Graphviz, Matplotlibs)
Jersey City Bikes is a bootcamp project to get started with Tableau to see how we create dashboard for practical real world usage.
Despite its initial intimidation, this dashboard is very simple to use and can give a lot of quick information each station
Not much to be said about it, since the data are already cleaned, but that Tableau is very lovely, time-saving tool for creating nice visualization.
Skills used: Tableau, GIS
Task GivenPull the data from hundreds of cities all around the world and host them on a website. The first website I built with CSS. I learn a lot about building multi-page website and how API works.
Easier ways to create a website existed. But I have a fun time learning the skills to customize it.
Skills used: Python (Panda, Matplotlibs, Scipy), API calls, Linear regression, CSS, JavaScript (Bootstraps 4)
Longer ExplanationIn this project, my main contribution is a hierarchical chart. Search a pokemon (all lowercase), a move, skill or an ability and learn about it.
Skills used: ETL from an API using Javascript: D3 library.
Longer ExplanationCreate a Tableau dashboard for practical real world usage for Jersey Bike Stations.
Skills used: Tableau, GIS
Data Visualization Code
Search a pokemon (all lowercase), a move, skill or an ability and learn about it.
Skills used: ETL from an API using Javascript: D3 library.
Data Visualization Code
Pull the data from hundreds of cities all around the world and host them on a website.
Skills used: Python (Panda, Matplotlibs, Scipy), API calls, Linear regression, CSS, JavaScript (Bootstraps 4)
Data Visualization Code
Gather loads of data from APIs using Python. Train the Data with a Machine Learning Algorithm. Predicting Whether a Movie Will Ended Up in What Streaming Site. Display both the trained data and the predictions on a Tableau Dashboad and represent the Journey in a Tableau Storyboard. Learn to use SVM (Support Vector Machine) as a machine learning predictor.
Story Dashboards Code Long Explanation
Our four-person team (named after a three-sided object) was chosen by the instructors with an initial deadline of just under 2 weeks to complete. The project(s) on the Git Page were planned, put together, and hosted via Zoom meetings and lots of coffee.
Our Website Code About Project
A massive dataset are available from the Consumer Financial Protection Bureau, I decided to play with to use for machine-learning, Chatgpt and learning new skills
Skills used: Pythons (Folium, Seaborn, Panda, Geocoder, Sklearns, Matplotlibs), API calls, GIS. Microsoft PowerBi (expected). Chatgpt prompt
Link to Current Code
I kept learning new libraries, so this tree and website is a way for me to keep track of it
Skills used: Pythons (Networkx, PyGraph, Graphviz, Matplotlibs)
Skill Trees Code
This is a simple webpage, its mobile interface still feel off, I'm working on it but then I wonder how would it can load into a simple Android app.
Probably easier using an online method, but I rather have a learning opportunity to start developing in Android.
Skills used: Android Studio or Visual Studio, Java, Kotlin or F#
There are many more projects that I have done in Georgia Tech Bootcamp that I haven' t yet organize or upload to this website. Some dependencies and visualization required liveserver.
Other skills not mentioned: AWS, Hadoop, Flask, NoSql, Mongodb, Sqlite, R, Web-Scraping, Leaflet, GoogleApi, VBA scripting, Postgres..