I've pursued multiple full stack development side projects covering a variety of technologies and frameworks from Postgres to Django to Heroku.
Through my experience at Quantopian I've given multiple talks on basic data science principles, crafted machine learning stock prediction models, and lead development of the open source Python package for analyzing stock alpha factors.
While at Nelson Irrigation I led I lead a team of interns to build a never before tried method of automatically collecting sprinkler uniformity and performance data.
Alphalens is a Python package designed to evaluate equity return predicting factors. These factors are commonly used in alpha factor modeling. The main function of Alphalens is to surface the most relevant statistics and plots about an alpha factor, including:
Alphalens is ideally ran inside a Jupyter notebook with just a few lines of code:
import alphalens
alphalens.tears.create_factor_tear_sheet(my_factor, pricing)
Status: active
Harvust is a farm working app that connects workers with growers. Harvust provides an online marketplace to source farm labor. Harvust passes the efficiency gains of providing a platform that finds the best labor, tracks production, and pays the workers onto the worker and grower.
Status: prelaunch
Big Picture is a collaborative project between me and my friend Taso. Our joint passion for movies combined with his design skill and my programming skill led us to create this beautiful self-sustaining website for browsing movies.
Status: active
Twitter: @__jameschris
Email: james@harvust.com
Github: jameschristopher