my workflow explained
I leverage SQL, MSSQL SSIS, and SSAS to integrate diverse data sources across the organization. This includes customer data, marketing metrics, and sales figures. By establishing robust ETL processes, I ensure data consistency and reliability, creating a unified data ecosystem that supports company-wide analytics initiatives.
Utilizing Python, I conduct in-depth exploratory data analysis and develop predictive models. This involves customer segmentation, churn prediction, and marketing attribution modeling. By applying machine learning techniques, I uncover actionable insights that drive customer acquisition strategies and enhance retention efforts, directly impacting the company's bottom line.
I employ Apache Spark to handle large-scale data processing, enabling comprehensive analysis of extensive historical data. This capability allows for detailed customer behavior analysis and trend forecasting, providing the organization with a competitive edge in understanding and predicting market dynamics.
I create dynamic, interactive dashboards in Power BI that translate complex data into clear, actionable insights. These visualizations serve as a central resource for data-driven decision-making across departments, from marketing to C-suite executives. By showcasing KPIs, customer journey maps, and ROI analyses, I facilitate informed strategic planning and continuous performance improvement.
