CX / Data Analyst focused on turning customer and operational data into clear insights, dashboards, and practical process improvements.
I build work that’s easy to understand, easy to trust, and easy to act on.
🔹 Core focus: Customer Experience analytics • Complaints & root-cause insights • Service performance reporting
🔹 Tools: Power BI • SQL • Python • Excel
A Power BI dashboard that tracks complaints patterns, drivers, and service performance to help teams reduce repeat issues and improve response quality.
➡️ Repo: https://github.com/daveochieng8/cx-complaints-powerbi-dashboard
A data exploration project comparing cost-of-living signals against income proxies to surface affordability patterns and insights.
➡️ Repo: https://github.com/daveochieng8/Nairobi-Cost-Of-Living-Vs-Income-Proxies
Practical analysis projects for cleaning data, building simple metrics, and generating insight summaries.
➡️ Repos: https://github.com/daveochieng8?tab=repositories
- Building Power BI dashboards that are stakeholder-friendly and KPI-driven
- Writing clean SQL for extracting, joining, and transforming data for reporting
- Using Python for analysis, automation, and repeatable reporting workflows
- Translating messy business questions into structured metrics and insights
BI: Power BI, Excel
Data: SQL, Python (Pandas)
Workflow: Git/GitHub, documentation-first project delivery
- Sharpening my analytics portfolio with end-to-end case studies
- Improving my SQL + Power BI patterns (modeling, measures, dashboard storytelling)
- Building more reproducible Python analysis templates
- LinkedIn: www.linkedin.com/in/dave-ochieng-206052129
- GitHub: https://github.com/daveochieng8
- Email: daveochieng8@gmail.com
