Neil Murphy

A Mature Junior Develepor with extensive finance, management and international experience.

Toronto, Canada

Summary

Working primarily in the Python ecosystem, Neil is strong in Python, Pandas, and Backtrader and is also comfortable with numpy and xarray. He works solely in linux and uses PyCharm and Jupyter Lab/Notebook. He has worked with large datasets from Quandl using SQLite and MySQL. Work examples can be found at GitHub and a factor analysis using Dash and MySQL on Google Compute Engine at 34.95.53.21.

Languages:

English

Favorite Python Packages:

Pandas, Numpy, Backtrader, Xarrary, Plot.ly, Dash, Quantstats, Yfinance, Matplotlib, Altair, Jupyterm, black, pycharm, pymysql, sqlalchemy, statsmodels, quandl

Experience

Working primarily in the Python ecosystem, Neil is strong in Python, Pandas, and Backtrader. He works solely in linux and uses PyCharm and Jupyter Lab/Notebook. He has worked with large datasets from Quandl using SQLite and MySQL and managed dataframes with pickle and HDF5. He is also comfortable with numpy and xarray.

He charts in Plot.ly, Dash and Matplotlib. He has connected and used APIs with Yahoo, Interactive Brokers' TWS workstation and gateway, and Federal Reserve Economic Data (FRED).

Neil has published a Plot.ly Dash app using a Flask framework and Apache on Google Compute Engine. (http://34.95.53.21/)

Neil has successfully created a number of algorithms for clients. Some algos can be viewed on GitHub at github.com/neilsmurphy/

Neil has actively contributed to stackoverflow focussing primarily on Pandas. See user: run-out https://stackoverflow.com/users/10888655/run-out .

Skills

Git, Google Cloud Platform (GCP), Linux, MySQL, NumPy, Pandas, SQL, SQLAlchemy, Virtualenv