Jacklyn S.

Quantitative Strategist And Engineer at Goldman Sachs

Jacklyn S. is a data science graduate from the University of California, Los Angeles, with a strong background in quantitative strategy and engineering. At Goldman Sachs, Jacklyn developed comprehensive data pipelines, managed databases using SQL and MongoDB, built APIs in Python, and created front-end visualizations with Angular, facilitating insights for sales, trading, and senior leadership. Jacklyn also held various leadership roles at the Society of Women Engineers at UCLA, contributing as External Director, Student Relations Director, and Student Relations Chair. Prior research experience includes exploring epigenetic clock stimulation under Matteo Pellegrini and developing biodegradable plastics with Professor Hongli Zhu at Northeastern University.

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