Soyeon Baik

Soyeon Baik

Stubborn but easily swayed by numbers, I developed an interest in quantitative ways to solve problems when I was an undergraduate. I took various courses related to statistics, such as Time Series, from which insights can be adapted to predict results and solve problems. The whole process of defining a problem, analyzing the data, and suggesting a solution has always fascinated and excited me, because it optimizes the decision-making process.

Presentations

Posters: Using Python Libraries to Predict, Optimize, and Provide End Users Decision Confidence