About You & Your Work
What is your current role and organization?
I’m a Data Scientist at Tencent. I work at the intersection of machine learning, user engagement, and marketing analytics for global gaming studios.
Can you share a bit about your career journey since graduating from the Master of Analytics program?
After graduating from Berkeley MAnalytics, I joined Tencent as a summer intern and was quickly drawn to the scale of behavioral data and experimentation in gaming. Since then, I’ve transitioned from academic modeling toward production-facing ML, uplift measurement, and re-engagement analytics for live game ecosystems.
What are you working on now that you find most interesting or impactful?
One of the projects I’ve been deeply involved in focuses on user engagement and winback—reaching players, bringing them back, and measuring what truly moves the needle. It requires designing strategies, optimization and ML models, and experimentation frameworks to maximize engagement and ultimately improve ROI.
What do you enjoy doing outside of work?
Badminton, gaming, good food, and collecting things—especially Pokémon cards. I’m currently in the South Bay, so feel free to reach out if you’re around!
Connection to the Program
How did the Master of Analytics program help prepare you for your current role?
It trained me to think in terms of causality, experimentation, and decision-making rather than just modeling. The fast pace and cross-disciplinary nature of the program maps surprisingly well to tech and gaming environments.
Was there a class, project, or experience in the program that particularly shaped your career path?
Applied projects in statistics, optimization, and simulation helped me learn how to frame ambiguous analytical and modeling problems. They taught me how to combine technical rigor with business context and deliver the insights stakeholders actually care about.
Reflections & Advice
What advice would you give to prospective or incoming Master of Analytics students?
Use the year to explore industries and define your career narrative early. Spend time thinking, organizing, and shaping problems—including your own career goals. Technical skills matter, but storytelling is what makes them actionable and influential.
What skills or mindset do you think are most important for analytics professionals today?
Systems thinking, experimentation, clear pacing and delivery, and full-stack curiosity are key. At the end of the day, analytics lives inside decisions—not dashboards.
