Born and raised in Surat, Gujarat — I left home at 16 and haven't stopped since. Six cities later, I'm still chasing the next adventure, whether that's a new place, a new challenge, or recently, line dancing. I love working with data and numbers, dream of building my own startup one day, and live by one motto: you can get anything you choose to put your mind to.
Family is everything. I'm a daughter, a sister, and a proud aunt of four — the best title I've ever held.
No matter how many cities I've lived in, family has always been the constant that keeps me grounded.
Work isn't just a job — it's what drives me. I'm ambitious, curious, and genuinely love digging into problems. The satisfaction of turning messy data into a clear decision is hard to beat.
I believe in going above and beyond, not because I have to, but because it's who I am.
Reading — always in the middle of a book. Add me on Goodreads!
Fitness — completed 100 OrangeTheory classes and working my way to 100 at F45. Ran my first 10K in 2024.
Led cross-functional investigation into revenue softness, identifying key drivers and recovering significant revenue. Managed experiment sequencing and built dashboards tracking channel-level trends and funnel performance.
Drove significant activation and revenue growth through A/B tests across product and marketing. Defined north-star metrics, built self-serve Looker dashboards, and launched an AI-powered GPT tool for analytics efficiency.
Quantified revenue impact of new partner integrations and built real-time Looker dashboards through SQL-based investigations, providing insights to cross-functional teams.
Built interactive Tableau dashboards on macroeconomic and consumer-behaviour trends. Authored monthly COVID-19 economic impact reports and developed Python automation scripts.
Designed and graded assignments for Database Concepts courses, and held weekly office hours supporting students.
Identified predictive features from image and weather data using EDA and feature selection in Python; built a data augmentation pipeline on Amazon S3.
Built an unsupervised NLP product recommendation system and an interactive Shiny app for user-behaviour insights; automated the data refresh pipeline using Python, Bash and PostgreSQL.