Data Scientist, machine-learning trading system
Worked on a machine-learning trading system that scrapes and processes large volumes of text documents from diverse sources to generate trading signals. The role emphasized transforming unstructured text into usable features for the ML system and integrating the signals into portfolio and risk management models. This constitutes data preparation and signal-generation from text inputs. • Scraped and processed large volumes of text documents from many sources. • Used machine-learning techniques to generate trading signals from text inputs. • Integrated generated signals into a wider trading and risk-management model. • Supported portfolio-level management of securities using ML-driven signals.