Data Analyst / Business Analyst
About Me
I am an experienced Data & Business Analyst with a strong background in wholesale, retail, logistics, and multi-regional operations. Over 20+ years, I have managed and scaled diverse business projects, building a deep understanding of what data is needed, how it should be structured, and how to present it effectively to stakeholders, clients, and investors.
I combine analytical rigor with intuitive business judgment to identify key drivers, risks, and opportunities. My work focuses on turning operational data into actionable insights that improve performance, reporting, and decision-making across the business.
In my current role, I analyze operational datasets and develop data solutions and automation tools. I build automated dashboards using SQL, Power BI, and Tableau, and I have reduced reporting time by 60% while improving accuracy.
I also have hands-on experience with AI agents and multi-agent systems for business process automation and optimization. I have designed and implemented AI-driven workflows to improve data collection, tracking, and reporting in regulated environments.
My background includes leadership roles in business analysis, retail management, and regional operations, where I opened branches, improved sales performance, expanded market presence, and strengthened reporting systems. I am comfortable working in high-pressure environments and delivering projects end to end.
I am known for my ownership mindset, reliability, and ability to bridge business needs with technical solutions. I bring a practical, results-oriented approach to analytics, operations, and automation.
Skills
Project ManagementPythonSQLSalesforceData AnalysisCRMComplianceProcess ImprovementStakeholder ManagementReportingDigital MarketingMicrosoft ExcelPostgreSQLMySQLBusiness AnalysisSQL ServerOperations Management
Education
Master of Science in Analytics
In progress.
MBA-level coursework in International Management and U.S. Law
MBA-level coursework.
IBM Data Science Specialization
Covered Python, R, SQL, and data visualization.
Experience
Analyze operational datasets and develop data solutions and automation tools. Build automated dashboards using SQL, Power BI, and Tableau. Reduced reporting time by 60% and improved accuracy. Designed and implemented AI-driven automation workflows using multi-agent systems to optimize data collection, tracking, and reporting. Manage operational processes and ensure compliance within regulated environments, including TSA-regulated operations.
Led regional expansion and opened new branches. Developed KPIs and improved sales performance. Increased revenue by 18% year over year through data-driven decisions.
Managed multi-location retail operations. Improved data accuracy by 40%. Opened 7 branches and expanded market presence.
Managed operations, logistics, and expansion across regions. Reduced operational costs and improved reporting systems.
Built and scaled retail chains. Developed procurement and logistics systems.