Bryan Cheong

Senior Data Scientist at Salesforce | San Francisco, California, United States

About Bryan Cheong

Bryan Cheong is a Senior Data Scientist at Salesforce, where he leverages his robust background in statistics and materials engineering to drive innovative solutions in business intelligence. Currently, Bryan focuses on developing sophisticated time-series models that empower sales leaders to forecast annual contract value with precision. His expertise in machine learning applications has been pivotal in revamping the revenue forecasting tool utilized by Salesforce's top leadership and sales teams, significantly enhancing their decision-making capabilities.

One of Bryan's standout projects involves the creation of a novel zero-shot forecasting model that utilizes Bayesian methods to predict the performance of new leaders and products, even in the absence of historical data. This groundbreaking approach not only showcases his proficiency in advanced statistical techniques but also highlights his commitment to pushing the boundaries of traditional forecasting methods. Bryan's ability to extract actionable insights from complex datasets is complemented by his strong skills in Python programming and cloud computing with Amazon Web Services (AWS).

In addition to his technical prowess, Bryan is a natural leader and collaborator, often engaging in public speaking to share his insights on data science and its applications in business. His diverse skill set, which includes knowledge in economics and game theory, allows him to approach problems from multiple angles, ensuring comprehensive solutions that align with Salesforce's strategic goals. As he continues to innovate within the realm of data science, Bryan remains dedicated to harnessing the power of data to drive business success and foster a culture of informed decision-making.

Bryan Cheong Work