Hi. I'm Braeden Richards.


I'm a software developer that is specialized in BI development, data analysis, and full stack development.

I make SQL Server as fast and reliable as possible.

I build efficient and stable full stack or web-focused applications.

I've worked with many top 100 AMLAW firms as well as medium/small businesses, offering enhanced BI reporting, increased efficiency of queries/jobs, and custom tools/applications.


Contact me Projects

Case Studies


Cutting a Law Firm’s Nightly ETL by 70%

6+ hrs → 1 hr 45 min

Reworked a decade-scale SQL Server pipeline feeding SSAS cubes for a large international law firm.

Read the case study

SQL Server · T-SQL · SSAS · SQL Agent

Some public facing projects created by me.


GroupChoice

Flask library mascot. Python language mascot.

Anonymized, simple group voting platform

Simplicity and clean user-flow focused, GroupChoice strives to create an interface to quickly create a voting session, send to others, and make a decision without needing an account or signing up.

Built on top of a Flask / PostgreSQL stack, GroupChoice aims to solve the everyday annoyances that stem from a group not wanting to make a decision. By focusing on a simplistic and easily useable design, GroupChoice can be used by any age group and by any computer literacy level.

Write-Up

Release image for GroupChoice.io

Canvas Quiz Maker

JavaScript language mascot.

Teacher focused online quiz maker compatible with SDU Quiz Converter

Intuitive quiz maker that exports to a format that can be used with San Diego University's Canvas Quiz Converter application.

Create a quiz/test using this online application, click the download button to obtain a .txt file in the format required by the San Diego University's Canvas Quiz Converter, and use it to create the .zip required by Canvas.

Use Tool | Write-Up | GitHub Link

Release image for Canvas Quiz Maker

NV Energy Power Flow Plotter

Python language mascot. JavaScript language mascot.

Easy to use alternative to NV Energy's Usage Graph, available as a web app and a desktop tool.

I found the chart on NV Energy's dashboard difficult to read. It uses a stacked column chart that does not present received vs. delivered power flow in a way the average user can understand.

Both versions of this tool instead show the data as a grouped column chart, so power sent back to the grid and power taken from the grid sit side by side. They work from the usage data dump (.csv) you can request from your NV Energy dashboard. Built with household solar in mind, they can be used to view any NV Energy usage.

Web app (JavaScript)

Upload your data dump and view it right in the browser. Group by day, month, or year, with no limit on the start and end dates beyond the data you upload. Your data never leaves your browser and stays safe in your hands.

Use Tool | Write-Up | GitHub Link

Desktop app (Python)

Point the app at a data dump file and choose a grouping period. You get back a cleaned CSV, an image of the graph, and the live graph itself to modify.

Write-Up | GitHub Link

NV Energy web plotter showing grouped columns of received and delivered power. Graph produced by the NV Energy desktop plotter from a usage data dump.

Get into contact with me.

Benefit from my high quality and efficient work.