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Conducting in-depth analysis of SEO performance and marketing campaign effectiveness for Uniace over a 24-day period, utilizing a datasets comprising over 97,000 records.
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Cleaning and preprocessing raw data using Excel VBA macros and integrating data from 3 separate Excel files.
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ETL data: Extracting, transforming data using python and loading analytical data to SQL server.
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Calculating relevant SEO metrics (churn rates, conversion rates, traffic,...) using DAX Measures.
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Developing interactive Power BI dashboard and generating some insights and data-driven recommendations that contributed to enhancing SEO strategies and optimizing marketing campaigns.
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