About Me
As a kid, cricket taught me probabilities.
Music taught me structure and intuition.
Data science gave me the language to scale both.
Chapter 1
Moneyball, Cricket & an Obsession with Numbers
I fell in love with sports through cricket, but I fell in love with numbers through Moneyball. Win or lose never felt random—there were probabilities, averages, and hidden advantages beneath every decision. Long before I knew the term “analytics,” I was intuitively thinking about strategy through data. That curiosity became my first exposure to data-driven decision-making.
Chapter 2
Math Nerd Meets Music
In high school, math and music grew side by side. While others saw music as pure creativity, I saw structure—patterns, frequencies, timing, and optimization. Composing felt surprisingly similar to solving mathematical problems: constraints, trade-offs, and elegant solutions. This was my first lesson that creativity and rigor don’t compete—they amplify each other.
Chapter 3
Full-Time Musician, Real-World Business
By my late teens, music became my full-time profession. I recorded an album with Grammy-nominated producers, toured internationally, and performed over 500 shows. Alongside this, I pursued a business degree and built a production company and band, Tropical Aroma. Managing tours, finances, audiences, and teams taught me execution under uncertainty—where decisions had real costs, deadlines, and consequences.
Chapter 4
Return to Data (Not a Pivot—A Convergence)
I never lost my love for math—it simply waited for the right form. Two Master’s degrees in data science and analytics helped me formalize years of intuition. Statistics, machine learning, and optimization felt instantly familiar, as if I had been training for them all along. Data science wasn’t a career switch—it was the convergence of everything I had been building toward.