AWS Lex

Part time while in my final year of university Reported to Brian Fox and Gustav Simonsson• Involved in high level investment strategy discussions, as well as implementation of those strategies• Used industry and research papers to incorporate SOTA techniques into trading strategy • Found and aggregated datasets, created backtesting data on strategies

Full time internship in between university semesters• Full stack web development using Postgres, GraphQL + Prisma, NodeJS and React. Contributionsdeployed into production, currently in use by C level executives• Automated workflows within organization, saving the team an estimated 6 hours/week

• Develop, test, debug, and deploy applications using software engineering best practices and design patterns • Create proof of concepts for customers using large distributed/federated data sets• Build, train, tune, and deploy machine learning algorithms specialized for our customers

Automated data collection from various tools & APIs• Performed data analysis & created visualizations for the management and sales teams to help them discover insights, make better business decisions, and understand the effectiveness of our platform: • Created metrics on cost of client acquisition & estimated revenue per client to help the sales team • A/B tested different ad strategies, that measured the effectiveness of different ad copy and layouts • Used data analytics to narrow target audience which lead to a 23% increase in click through rates

• Performed real estate investment analysis for potential property development acquisitions• Created pitch-books that generated sales of our investments to institutional clients • Cap rate, NOI, and cash on cash modeling • IRR, cash flow, and NPV calculations

• Public & private equity analysis, valuation, and created models for public and private companies • Researched and supported a Cryptocurrency Initial Coin Offering (ICO) launch• Due diligence of venture capital investments• Ran analytics in Python & Excel on commodity pricing

• Researched and delivered a competitive sector report for strategic planning by executive team; report subsequently leveraged for external publication; information was then acted upon• Automated internal processes that calculated equity portfolio analytics in Python and Excel

Cleared to work in a Level 2 secure environmentSupport & documentation of ongoing research topics and projects:• Data Mining and Machine Learning for Air Traffic Management Automation• Aircraft Trajectory Prediction via DM & ML• Air Traffic Control Sector Occupancy studies