I'm a data analyst passionate about helping businesses make sense of their data. I enjoy transforming complex, messy datasets into clear stories and actionable insights that drive real decisions.

My focus is on building analytical workflows and interactive dashboards that actually get used, uncovering patterns that challenge assumptions, and communicating findings in a way that resonates with both technical and non-technical audiences. I believe the most valuable skill in data is not writing the perfect query but asking the right question.

Outside of data, I stay close to the technology landscape by exploring new AI tools, attending tech and startup events, and connecting with people building interesting things. I also sing and play football, which I think says something about appreciating both individual craft and teamwork.

• BYJU'S Growth Analytics: Building an end-to-end EdTech analytics project using SQL and Python to analyse student acquisition, demo-to-paid conversion, app engagement, cohort retention, churn risk, and campaign ROI.

• Databricks and Snowflake for cloud data engineering, scalable analytics workflows, and modern data warehousing.
• Advanced machine learning techniques and concepts to strengthen predictive analytics, segmentation, and model evaluation skills.
• Claude Code AI for analytics workflows to leverage AI-assisted data analysis, SQL development, Python automation, and project documentation.