I primarily use Python and SQL, and utilize tools such as DBT, and Dagster in my day to day. I have experience with Docker and writing containerized applications. I'm also an AWS Certified Developer and have experience with AWS infrastructure including S3, Lambdas, Athena, and AWS Glue.

I am an avid trader and investor, most of my projects are tools that I create for myself to automate and assist in my investment research and streamline my investment processes. Below are a few examples of tools and dashboards I have created:

Recent Work

Sector Fundamentals Model

Scrapes fundamental metrics and ratios for all stocks in a specific sector, and ranks them visually. Visualize in a containerized Streamlit App. This is a quick way to find the strongest and weakest names in a sector from a fundamental perspective.

NFL Receiving Stats 2021-22 - Tableau

This is a study of all NFL players with more than 500 receiving yards during the 2021-22 season. Here I use python and Tableau to analyze and visualize the data.

Dune Analytics PancakeSwap Dashboard

Use Postgre SQL to query and visualize PancakeSwap data with Dune Analytics. Measure things such as market cap, CAKE supply, volume, fees, etc.

Dune Analytics SushiSwap Dashboard

Dune Dashboard of fundamental metrics for Sushiswap. Measure things such as market cap, SUSHI supply, volume, fees, etc. Also include a Network Value model adapted from Raoul Pal's Layer 1 Network Value model and applied to a DEX.

Get In Touch

Please feel free to contact me by email, listed below: