A selection of analytics projects I’m building to move from raw data to clear business recommendations.
SQL · Power BI
End-to-end dashboard combining ticket, revenue, and SLA data to help an after-sales team track backlog, response times, and key service KPIs in one place.
Python · Excel · Power BI
Monthly forecasting model built from historical spend and project timelines, with a simple interface for exploring scenarios and explaining variances to non-technical stakeholders.
SQL · Looker Studio
Lightweight executive view surfacing the 5–7 metrics that matter most for weekly reviews, built to reduce slide preparation time and keep discussions focused.
SQL · Python
Exploratory project looking at churn patterns, cohorts, and retention drivers, with clear charts and simple takeaways for marketing or customer success teams.
Python · Excel
Automating recurring management reports by pulling data, cleaning it, and producing consistent tables and visuals, reducing manual spreadsheet work.
SQL · Looker Studio
Funnel view from impression to conversion, with basic segmentation and a focus on highlighting where drop-off is highest and where to test improvements first.