I currently work at LinkedIn on weekdays, and pursue my part-time MBA degree at Berkeley on weekends.

I was a CS and economics undergrad at MIT. I choose the majors after I learned about the stable marriage problem in both an CS and an economics class early on. In CS, I learned that the solution is O(n^2) complexity. In economics, I learned that the algorithm solved problems like organ donor matching. I liked CS for challenging my brain to re-wire itself, and liked that economics for applying that thinking to social challenges.

In consulting, there was never such clear solutions. Instead, I talked to customers directly, conducted focus groups, gathered surveys. I learned to distill this info into easily understoodable frameworks, and to synthesize customers insights into broader strategy for clients.

Then I went to MoPub, an adtech startup that was acquired by Twitter. I wore multiple hats: wrote legal policies, managed vendor relationships, created internal tools with engineers, launched new products. My favorite launch was Twitter Audience Platform. I heped sales reps close beta clients, reported feedback back to product, brainstormed solutions with engineers, and eventually scaled it to $XXM run rate.

At LinkedIn, I've build up my expertise in data science, specifically within the advertising and sales space. As a manager, I've learned to scope and define user and business painpoints into actionable and impactful projects, motivate and align cross-functional teams towards a common goal, and coach new team members to take on additional challenges.

I also enjoy compiling learnings, restaurants, books, music.