Ayesha Saba

I am a Data Analyst with over 3 years of experience specializing in data analysis, visualization, and reporting. My proficiency in extracting actionable insights from large datasets has significantly improved decision-making processes in my previous roles. I have a strong command of SQL, Excel, Python, and Tableau, and I am well-versed in statistical methods and machine learning algorithms.

At UnitedHealth Group, I led the analysis of large-scale datasets, resulting in a 15% improvement in clinical decision-making. I developed complex SQL queries that reduced data retrieval time by 20% and designed interactive Tableau dashboards that cut reporting time by 30%. My work in applying machine learning techniques has contributed to proactive healthcare strategies, achieving an 85% accuracy in predicting patient outcomes.

Previously, at Mphasis, I utilized Python and SQL to enhance data quality and built dynamic Power BI dashboards that improved operational decision-making. My efforts in time-series forecasting achieved a remarkable 95% accuracy, enabling the sales team to optimize inventory management. I am passionate about leveraging data to drive business growth and improve operational efficiency.