Summary
Adrian Aley is a business-minded Data Scientist with eight years of experience building production AI and analytics solutions across healthcare, telecom, and enterprise services in the Washington DC–Baltimore area. He led end-to-end development of document digitization and contract-extraction systems at Verizon that cut manual processing from weeks to under an hour and helped scale OCR/NLP across millions of contracts. At McKesson and previous engagements he continues to translate complex business problems into robust ML pipelines and APIs, drawing on strengths in deep learning, computer vision, and time-series/quantitative modeling. As founder of AleyAnalytics he applied transfer learning to boost apparel attribute detection from ~20% to >85% and built quantitative trading tools and high-density analytics dashboards. He combines hands-on model engineering with product sensibility and a knack for tailoring solutions that outperform generic cloud OCR and vision services.
8 years of coding experience
5 years of employment as a software developer
Machine Learning for Trading, Machine Learning for Trading at Udacity
Quantitative Finance, Econometrics, Accounting, and Investments, Quantitative Finance, Econometrics, Accounting, and Investments at Investopedia University
Quantitative Finance, Computational Investing, and Algorithmic Trading, Quantitative Finance, Computational Investing, and Algorithmic Trading at Quantopian
Data Science, Programming, and Web Development, Data Science, Programming, and Web Development at Codecademy
Investing and Financial Chart Analysis, Investing and Financial Chart Analysis at ChartSchool
Computer Information Systems, Computer Information Systems at James Madison University
Investing, Personal Finance, and Economics, Investing, Personal Finance, and Economics at Wall Street Survivor
English, Spanish