Data professional characterized by a proactive approach and a focus on analytical thinking and the scientific method. Proficient in managing large datasets with SQL, Excel, and Python. Employs exploratory analysis to comprehend data and identify patterns and outliers that support informed decision-making. Expertise in creating measurable metrics and key performance indicators. Skilled in developing dashboards with data visualization tools such as Power BI, Tableau, and Google Data Studio (Looker) to produce actionable insights.
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