I am a data analyst who loves turning complex data into actionable insights. I specialize in Excel, Tableau, Power BI, Python, and SQL to optimize campaigns, improve retention, and support product decisions.
I’m a collaborative problem-solver who enjoys building clear dashboards, running A/B tests, and automating data tasks. I’m open to remote opportunities and eager to apply my analytical mindset to data-driven roles.
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• Built a full Smart City Analytics system by integrating multi-domain datasets (traffic,
energy, air quality, transport, citizen feedback), creating optimized star-schema models,
and developing advanced DAX measures such as performance indices, anomaly
detection, and forecasting insights.
• Implemented predictive analytics techniques—including Z-score anomaly detection
and ETS forecasting—to evaluate district-level efficiency, energy use, mobility
patterns, pollution, and citizen sentiment, enabling real-time planning and predictive
decision support.
• Designed an interactive Power BI dashboard with heatmaps, drill-through navigation,
KPI-driven visuals, and advanced visualization workflows, transforming complex
urban data into clear operational, tactical, and strategic insights for stakeholders.
• Designed an interactive Power BI dashboard to analyze profitability, regional success,
and product investment opportunities for executive decision-making.
• Transformed raw data via Power Query and created a relational data model through
DAX to generate KPIs and trends.
• Identified Europe as the top-performing region, with the “Paseo” segment where
investment is well warranted to realize clear strategic growth.
• Analysed historical sales data using Python and MySQL to build a predictive system,
addressing $1M in annual inventory losses from misalignment.
• Developed Tableau/Power BI dashboard visualizations for sales trend and forecast
accuracy, allowing for data-driven demand planning.
• Improved forecast accuracy by 25%, reduced inventory costs by $1.2M annually, and
increased peak season sales by 18% with optimized stock.
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