Data Scientist:
MCSA: SQL Dev
Microsoft Data Science Associate
Microsoft Certified Educator
Microsoft Partner Network.
Current Maters Level Researchers in AI. Published author in Quantitative Finance.
Full Stack Data Scientist.
Core Skills: Python, C# in .NET, Machine Learning, AI, Data Visualization (BI and custom front end graphics), data integration, Hadoop, Spark, Kafka, Data Science, Research, Writing, Sales, SQL (MSSQL, PostgreSQL, SQLite). Data pipelines. Node.js. Docker. DevOps.
Project work:
Investment Bank - Market Risk trading platform development
Investment Bank - big data architecture and SQL integration using Kafka streaming for near real time feeds
Asset Management - Employee Benefits Tailored fund and insurance reporting UI and SQL backend.
Asset Management - Machine Learning market commentary analysis and dashboard development
Asset Management - ASP.NET Angular.js solution full code audit and penetration testing
Asset Management - XGBoost Networks in Time Series Forecasting with front end dash board reporting for portfolio reporting
Asset Management - Reinforcement Learning automated oil trader (proof of concept demo in hand)
Asset Management - Full Data Architecture design and development (Lead developer)
Investment Bank - Natural Language Processing in automated data quality corrections
Multiple data migrations, system architecture designs, project valuation using advanced proprietary model (can supply published paper to academic journal authored by me), experience as a Scrum Master, and have training in Agile Scrum and Kanban.
My weakest skills are UI design.
My current project interests are in full stack development, Machine Learning (and MLOps), and cloud service development.