Welcome 🌍👣☕

Image source: Milan Kundera, from his novel The Unbearable Lightness of Being

Senior Manager, Data Science @ Walmart (2021–Current)

• Led multiple high-impact data science teams architecting and owning enterprise causal inference, measurement, and ML systems – influencing enterprise decisions across eCommerce, product strategy, logistics and supply chain and delivering $250M+ in impact
• Defined and executed E2E strategy and roadmap for a diverse DS/analytics portfolio spanning:
  • Causal AI: automated impact measurement framework across A/B testing, quasi-experimentation tools and Bayesian methods
  • Enterprise ML systems: speed elasticity, text matching algorithm, merchandising optimization
  • Supply chain optimization: vehicle routing, delivery defect analytics, network optimization
• Advised senior executives on measurement design, data strategy, and investment decisions
• Spearheaded adoption of Agentic AI across experimentation strategy, data monitoring, knowledge retrieval to accelerate impact, saving 400+ hours annually
• Collaborated closely with engineering, product, ops, and strategy orgs on building decision solutions
• Scaled organizational data capability by mentoring 15+ data scientists, and by elevating technical standards and decision literacy across product, strategy, and operations orgs

Data Science SME at the Department of Veterans Affairs

• Augmenting and optimizing data science workflow to protect veterans’ benefits from fraudulent activities

PhD @ Harvard Business School (2017–2021)

• Dissertation: Information Design in Operations Management
• Topics: Operations Management, Service Management, Customer Experience (CX), and Information Design.
• Methodology: experiments (lab, field), econometrics, data science, monte carlo simulation
• Tech Stack:
  • Statistical Computing: R, Python, Stata
  • Optimization: AMPL, CPLEX, Julia
  • Others: SQL, Qualtrics/jScript, Adobe Omniture
• Previously used (and can pick up again as needed): Java (for robotics), Matlab, Simulation tools (Arena, Simulink)

Before PhD:

• I worked at a number of organizations, namely @ Spire Health (health data science), UC-Berkeley Registrar’s Office (project management), Disneyland Resort (facilities & operations services), Christiansen Capital Advisors LLC (gaming and leisure industry), and Columbia Business School (technology in higher education).

• I studied Operations Research all my life – needless to say, it’s a fascinating field! It’s an amazing field to be in if you love solving problems and putting pieces of the puzzle together (and especially if you enjoy working with people). Take a look at the INFORMS article on Analytics/Operations Research Career. I received my B.S. from UC-Berkeley (Go Bears!) and M.S. from Columbia University, both in Industrial Engineering and Operations Research.

• I studied Chinese (pretty intensely) in college. With much gratitude to the Huang Scholars Program, I was able to spend two summers @ Beijing during my college years.