Worked on various independent projects developing software and strategies combining fundamental, quantitative analysis and artificial intelligence/machine learning to get an investment edge on stocks. Key technologies include: Python ( pandas, numpy, scikitLearn ), SQL, Tableau, visualization packages, machine learning.

Provider of investment consulting services for investors looking to leverage quantitative analysis and data driven insights. We helped firms create, analyze and consume alternative data. Developed a quant based investing system based on fundamental insights generating 20%+ returns.

Portfolio Manager and Sector Head for Basic Materials, Industrials and Transports Equities. Additionally, covered Consumer Cyclicals. Developed quantitative analysis tools in Excel/Python to aid with idea generation, analysis and monitoring.

• Portfolio Manager / Analyst on the GSAM US Value Equity Team, directly responsible for managing approximately $3b in assets for midcap, large cap and 130/30 portfolios.• Consistent track record of alpha generation as a top performer on a 1, 3 and 5 year period. • Former co-lead portfolio manger of Goldman Sachs Asset Management US Value Long/Short product.• Previous sector coverage with the team has included Basic Materials, Industrials, Consumer Staples, Healthcare, Utilities and Energy.

Product manager and early employee at a python based artificial intelligence company using natural language search. Firm was sold to IBM.