Analyzed half a billion data points from 60,000 wireless water meters using SAS analytics, creating interactive dashboards for consumption tracking and leak detection.
Built predictive models to identify crime hotspots in Los Angeles using machine learning, analyzing patterns across 900K+ incidents to guide law enforcement resource allocation.
Developed comprehensive sales analytics examining 700+ transactions across 10 countries, identifying key trends and segment performance using statistical analysis.
Experienced in analyzing and visualizing data using Power BI, Excel, and Tableau to uncover actionable insights.
Developed predictive models and performed data cleaning using Python, pandas, and scikit-learn for real-world datasets.
Strong in structuring, managing, and presenting data accurately using SQL, Power BI, and dashboard development tools.
Proven ability to guide academic project teams, manage resources, and ensure quality deliverables through effective coordination.
Delivered engaging data-driven presentations to technical and non-technical audiences, demonstrating clarity and confidence.
Proficient in building responsive websites using HTML, CSS, JavaScript, and Bootstrap with focus on user experience and modern design.