Skills
Technical Skills
A practical overview of the tools and techniques I use day-to-day across analytics, data engineering, and product work.
Programming & Query Languages
SQL is the primary working language for data extraction, transformation, and analysis across all roles. Python is used for automation, reporting workflows, and predictive modelling.
Databases & Data Warehousing
Hands-on experience with both operational and analytical databases — from relational SQL systems to columnar warehouses like ClickHouse and managed cloud services like AWS Athena and Redshift.
BI & Visualization Tools
Used to build stakeholder-facing dashboards and reports. Power BI and Apache Superset have been deployed for real-time KPI monitoring across teams of 30+ stakeholders.
Analytics & Modeling
Core analytical competencies applied in product analytics, insurance brokerage, and MIS contexts — including A/B testing, funnel and cohort analysis, and predictive modelling.
Cloud & DevOps & Collaboration
Practical experience with AWS infrastructure (EC2, Athena, Redshift), containerisation with Docker, and team collaboration via Git and JIRA in Agile environments.