Jason Lee

Jason Lee has a diverse range of work experience, primarily in the field of data science and machine learning. Jason started their career as a Jr. Financial Analyst at Landmark Management Group, where they assessed risk/reward for investments and developed models to project stock prices. Jason then worked at 36 By Design as a Sr. Business Analyst, where they utilized predictive analytics, text mining, and database systems to improve curriculum and track student performance.

After that, Jason joined Insight as a Marketing Data Scientist, where they created machine learning models to target clients with tailored messages and provided analysis for marketing campaigns. Jason then moved on to Freedom Financial Network as a Sr. Data Scientist, focusing on lead scoring, collection strategy, and text mining.

Jason later worked at Aptive Resources as a Senior Machine Learning Engineer, specializing in chatbot development, bot deployment for social media analysis, and computer vision for document recognition. Jason also founded their own company, A.I. Sports, where they served as the Chief Data Scientist and built predictive algorithms for the sports investment market.

Currently, Jason is employed at Swish Analytics as a Sports Data Scientist. Their responsibilities include ML Ops for developing data science models, data engineering to improve data quality, and production monitoring to enhance model accuracy.

Throughout their career, Jason has demonstrated leadership skills by recruiting and leading teams, fostering a collaborative and innovative culture, and providing subject matter expertise to guide business decisions.

Jason Lee earned a Bachelor of Science (B.S.) degree in Economics from the University of Utah, graduating in 2012. Jason then pursued a Master's degree in Data Science at Northwestern University from 2018 to 2019. In addition to their formal education, Jason obtained several certifications in the field of data science. These certifications include "Building Dashboards with flexdashboard" from DataCamp in May 2020, and various Coursera certifications such as "Art and Science of Machine Learning," "Feature Engineering," "How Google does Machine Learning," "Intro to TensorFlow," "Launching into Machine Learning," "Machine Learning with TensorFlow on Google Cloud Platform Specialization," "SQL for Data Science," and "Machine Learning," obtained between 2016 and 2018.