
Data Analyst with around 2 years of experience delivering end-to-end data solutions for AT&T’s network planning. Expert in Python, SQL, Bash, and Java to build ETL pipelines that load geospatial and Oracle data into Microsoft SQL Server on Windows Server environments. Designed HadoopSpark workflows on AWS to process terabytes of sensor logs, and applied machine-learning models to improve demand forecasts by 30%. Produced Tableau and PowerBI dashboards for 200+ stakeholders while operating in Agile sprints and managing AudioVisual equipment inventories. Pursuing a Master’s in Data Science to deepen expertise in advanced analytics.