Hello there!

I’m a Data Analyst with 4+ years of experience working across product, operations, and business analytics in consumer-facing and operationally complex environments.

I work on problems where data is messy, signals are unclear, and decisions still need to be made. My focus is on understanding user behaviour, diagnosing performance across funnels and lifecycles, and translating analysis into clear, actionable recommendations for business and product teams.

I’ve partnered closely with Product, Operations, Finance, and Leadership teams to define metrics, analyse funnels, cohorts, and experiments, and support decisions across onboarding, conversion, retention, pricing, outreach strategy, and operational planning.

I bring an execution-first mindset shaped by hands-on experience in large-scale operations and category management, which helps me balance analytical depth with real-world constraints. I’m comfortable working under ambiguity, prioritising trade-offs, and driving clarity through data.

Technically, I work primarily with SQL, Python, and BI tools (Tableau / Power BI) for analysis, experimentation, and reporting. Alongside my professional work, I’ve built end-to-end analytical projects to strengthen my foundations in applied analytics, data engineering concepts, and scalable data systems.

I’m deeply curious about how data informs better decisions and continuously invest in strengthening my analytical thinking, technical depth, and storytelling skills.

Outside of work, I enjoy photography, reading, hiking, and dancing.

Feel free to connect with me via LinkedIn or drop a message to my email. We can discuss data, tech, business, & more. I also enjoy photography, reading, hiking, and dancing.