Chung Sciang

Accomplished data science and engineering leader with a strong history of team building and management. Demonstrated success in overseeing complete machine learning projects for a variety of purposes, such as targeted marketing, personalized recommendations, search ranking, credit scoring, and CTR prediction. Proficient in information retrieval, natural language processing (NLP), and the creation of search engines and music recommendation systems for the easy payment, ad tech, and music streaming sectors.

• Personalized Coupon Recommendation (Payco): Led end-to-end implementation, boosting user engagement and revenue through personalized recommendations and A/B testing.
• Coupon Ad Targeting Models: Developed uplift modeling and utilized causal inference to optimize targeting for Payco's coupon ads.
• Alternative Credit Scoring Model: Created advanced credit assessment models, surpassing benchmark metrics for improved credit evaluation.
• Coupon Ad Learn to Rank Project: Applied Learn to Rank algorithms for coupon ad ranking, enhancing the relevance and effectiveness of ad placements.
• Music Mood Classification (Bugs Music): Applied deep learning for automatic mood classification and playlist generation.
• Search Learn to rank PoC with Machine Learning, Deep Learning: Led proof-of-concept initiatives to enhance search results using machine learning and deep learning models.