Sung Jun Yoon, Ph.D. Email & Phone Number

Portland, Or, Us

Burbank, Ca, Us

- Leading a group of software engineers, ML Engineers, and Data scientists to deliver best personalized streaming app experiences for Hulu guests

Burbank, Ca, Us

- Spearheaded a data science team to provide real-time recommendations catering large audiences' personalized interests in rapidly changing sport topics in ESPN web/mobile app- Designed and deployed key personalization ML algorithms increasing the user clicks by 25%

Portland, Or, Us

- Led a team of data scientists to design/prototype/productionize multiple ML solutions such as time-series prediction, asset condition prediction, customer analytics, and spearheaded business engagement to formulate solutions for business outcome and present data science analysis results.- Developed several successful ML models for condition based asset maintenance for key utility assets.- Built foundational functionalities for Distributed Resource Planning (Customer-sited green energy planning) by developing time-series forecast models for electricity consumption, electric-vehicle charging, and solar generation.- Reduced customer friction by replacing human outage duration estimation with ML model based estimation.- Performed advanced customer insight projects such as propensity model, customer segmentation, behavior prediction for targeted marketing & customer engagement.- Strong focus on business result and automation of ML models by applying best practices for end-to-end ML products.- Enhanced productivity of the data science team by developing in-house python libraries and toolsets for standardized code development. - Closely worked with business teams to define and design ML projects and development plans and helped them to track outcomes of the projects

Santa Clara, California, Us

Santa Clara, California, Us

• Built metrics and monitoring systems to identify issues from semiconductor manufacturing equipment; Resulted in significant contribution to manufacturing yield improvement. (five times corporation awarded)• Deployed machine learning algorithms to eliminate false signals in manufacturing process, resulting in more than 50% visibility improvement of the issues on the process• Developed image process engine to extract features to be fed into ML models to reduce false signal • Provided data-driven strategies to identify and root cause uncontrolled process issues with statistical analysis on equipment and wafer data

Doctor Of Philosophy (Ph.D.), Electrical And Electronics Engineering

Master Of Science (Ms), Electrical And Electronics Engineering