Hritika Ranadhir

I sit at the intersection of Data Engineering and Business Strategy. My background is built on a strong technical foundation (Python, SQL, ETL), but my passion lies in applying these tools to solve real-world business problems—specifically in Marketing Analytics and User Acquisition.

Currently, I am working as a Research Analyst at a fast-paced startup, where I wear multiple hats. I don't just analyze data; I help generate it. My work focuses on the "Top of Funnel"—managing Google Ads, analyzing search term intent, and using tools like Microsoft Clarity to optimize user experience (UX) and conversion rates.

What makes me different? Most analysts just read the dashboard. Because of my engineering background, I understand the data architecture behind the dashboard. I look for ways to automate workflows, clean messy datasets, and build reliable pipelines so the business decisions are based on facts, not guesses.

My Core Toolkit:
- Analysis & Growth: Google Ads Manager, Microsoft Clarity, Keyword Research, A/B Testing, Excel/Airtable.
- Data Engineering: Python, SQL, PySpark, ETL Pipeline concepts.
- Visualization & BI: Building dashboards that tell a clear story to stakeholders.

I am driven by curiosity and "The Why." whether it's debugging a Python script or figuring out why a specific ad campaign is underperforming, I enjoy digging into the details to find the solution.