Castino Dong

About Castino Dong

I\'m a Product Manager and experienced (6+ years) Product Data Scientist. I believe product development and data science are inseparable. I take ownership of product development and build strong connections with business partners. I tackle many challenging questions asked by my supervisor, business partners and sometimes myself to inform better product design. I answer them by building cutting-edge ML models on features extracted from the terabytes of telemetry data. I have contributed to the end-to-end development and rollout of 4 novel insurance products to the U.S. market, of which 3 are telemetry-based products.I enjoy wearing many hats: I love to serve as an enthusiastic scientist who indulges in exploring patterns in data, a business consultant who propose actionable business recommendations, a critical thinker who raises contrarian voices in decision-making meetings, and a leader who can always inspire and motivate peer data scientists even at stagnant moments. When not coding or analyzing business problems, I work with other volunteers to organize professional events to bring smart minds together and spread intelligent career development tips among young professionals.Specialty:Software - Python, R, SAS, SQL, Spark, Hive, Tableau, Excel, AWS applications.Data Science - Statistical modeling, Statistical consulting, Machine learning, Deep learning/AI, A/B testing.Business - Project management, Story-telling, Data-driven decision making, Business strategy, Marketing strategy, Financial analysis/forecast, Entrepreneurship.Email: h••••••••@gmail.com

Experience

1. Senior Product Manager - Image Search Quality and Experience

   Microsoft

   Jun 2024 — Present · Redmond, WA, US

   Owned the product strategy for multimedia search quality measurement, defining and shipping a unified metrics framework (DCG, SBS, RSAT-aligned signals) used to guide ranking, answer, and grounding decisions across image and video search surfaces.• Aligned Image Experience, Image Ranking Relevance, Image Index teams on a unified roadmap to improve the end-to-end image quality for Image Search and Image grounding for AI applications.• Led the design and launch of an attribution and diagnostics platform that classified quality wins/losses across relevance, triggering, and UX, enabling teams to identify root causes and prioritize fixes that improved top-level SERP metrics.• Established the comprehensive index quality metric by measuring 10+ aspects using LLM-based models and achieved over 85% accuracy through human evaluation.

Education

• University of Washington

  Master of Business Administration - MBA, Business Administration and Management, General

  2018 — 2021

• Emory University

  Master of Public Health, Public Health (Epidemiology)

• The Second Military Medical University

  Bachelor of Science (B.S.), Biotechnology

• Indiana University Bloomington

  Master of Science, Biotechnology

• Indiana University - Kelley School of Business

  Certificate Program, Business in life science