Jackson

Develop end-to-end analytics solutions using SQL, Python, PostgreSQL, Power BI, and Excel to transform complex datasets into actionable insights that support operational performance, inventory visibility, and business decision-making.. Design scalable PostgreSQL data warehouses utilizing raw, staging, and dimensional modeling layers to improve data quality, governance, reporting accuracy, and analytical efficiency.. Engineer automated ETL workflows that collect, cleanse, validate, and prepare large datasets for reliable reporting, dashboard development, and downstream business analysis.. Construct interactive Power BI dashboards that monitor KPIs, customer behavior, operational trends, and performance metrics, enabling stakeholders to quickly identify opportunities and make informed decisions.. Evaluate more than 588,000 marketing observations using statistical analysis to estimate approximately 4,343 incremental conversions, translating complex analytical findings into clear business recommendations.. Develop predictive customer churn models using Python, Logistic Regression, Random Forest, and XGBoost across more than 1 million customer records, identifying high-risk customer segments to support targeted retention strategies.. Present analytical findings through dashboards, visualizations, and written recommendations that simplify technical results for business stakeholders and promote data-driven operational improvements.. Standardize data preparation, validation, and quality assurance processes to ensure reporting accuracy and maintain analysis-ready datasets across multiple analytics projects.. Translate complex analytical findings into clear dashboards, reports, and written recommendations that enable stakeholders to make informed operational and strategic decisions.