I’m a customer experience and data enthusiast with 8+ years in customer success, digital support, and quality operations. I use data to spot patterns, reduce churn, and improve the customer journey. Lately I’ve been building hands-on analytics projects that connect customer insights to business impact. My toolkit includes Excel, Power BI, and SQL.
I’m especially interested in roles where I can bridge customer experience with analytics and implementation, helping teams make better, data-driven decisions.
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SQL + Power BI analysis of profitability drivers in film. Explores genre ROI, actor-count correlations, and studio performance with interactive visuals and a clean, recruiter-friendly dashboard.
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Excel + SQL model that simulates a Customer Success Ops decision flow. Flags at-risk customers, segments by engagement, and recommends next-best actions—built to be BI-ready and explained with clear process notes.
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Additional self-led builds focused on practical CX/ops analytics patterns and reporting.
- Intermediate SQL: CTEs, temp tables, aggregation
- Advanced Excel modeling & formulas
- Python with pandas for cleaning, exploration, and charts
I’m always open to talking about data, CX strategy, or career growth.