Play Bold · Analyze Bolder
Just like RCB never plays it safe, I've never taken the predictable route with data. My journey started with an undergrad in Artificial Intelligence & Machine Learning, where I discovered that numbers aren't just numbers - they're the game tape that tells you exactly what went wrong and how to win next time.
Now pursuing my Master's in Business Analytics at UMass Amherst, I specialize in turning complex datasets into decisions. I've built predictive models, automated ETL pipelines and designed dashboards that don't just display data - they drive strategy. I thrive at the intersection of technical depth and business clarity - the same obsessive precision Virat Kohli brings to every innings, the same 360° thinking AB de Villiers used to attack from every angle.
Every dataset is a match. Every insight is a boundary. And I don't stop until the numbers tell the full story.
Every great team needs the right lineup. Here's mine - each skill in its position, in form, ready to bat.
🟢 In form · 🟡 Building · 🔴 Developing · Rating = skill proficiency out of 100
The things they don't put on a resume - but absolutely should.
Spent 3 hours debugging a model only to find I'd been training on the test set. The model was great. My judgment? Not so much. Just like RCB in the 2016 final - had everything, lost at the last moment. Lesson: always check your train-test split. And your bowling attack.
Built a Tinder & Bumble analytics dashboard to track swipe rates, match ratios and response time distributions. Ran a full EDA. The data was conclusive: the algorithm needs serious improvement. So does my opening message.
Ran a regression on study hours vs. grades - R² = 0.81. Effort explains 81% of outcomes. The other 19%? Entirely the professor's curve. This is now peer reviewed fact in my personal notebook.
Built a personal Spotify dashboard and discovered I listen to exactly 3 playlists on loop. Like RCB's top-order - same situation, every season. Variety score: 0.04. Commitment score: 10/10.
Tracked sleep vs code quality. Below 6 hours, Stack Overflow searches triple and variable names become single letters. The data is irrefutable. I still ignore it the night before deadlines.
During deadline week, browser tabs peak at 30+. Around 10 are docs, 8 are StackOverflow, 5 are the same article opened at different scroll positions and at least 1 is food delivery. Assignment still gets submitted.