Strategic Data Analyst with expertise in designing and optimizing data pipelines on Azure, delivering scalable, and cost-effective solutions. Skilled in financial data analysis, Power BI dashboarding, SQL, and automation, enabling real-time insights for trading and cost management. Proficient in Azure Data Factory, Power Query, and ML techniques for forecasting and anomaly detection. Strong in ETL, RLS implementation, and BI tools like Tableau, enhancing financial decision-making.
Microsoft Certified: Azure Data Engineer Associate-DP 203 [https://shorturl.at/uaxdR]
Healthcare Resource Utilization Dashboard :
Developed an interactive Tableau dashboard to analyze hospital resource utilization, optimizing bed occupancies capacity, and emergency wait times. Processed 3+ years of patient data using SQL and Python to identify trends and forecast demand. Designed predictive visualizations to help administrators make data-driven decisions, improving hospital efficiency. Integrated AWS for scalable data storage and reporting, ensuring better resource allocation and patient care during peak demand periods.
Student Performance Analysis System [Associated with GITAM University] :
A database-driven project to track and analyze student performance. It stores grades, attendance, and faculty feedback while enabling batch inserts, automated GPA calculation, and trend analysis. Using stored procedures, triggers, and queries, it identifies top-performing students and those at risk. Data visualization through dashboards (Power BI/Excel) provides insights. An ER diagram represents relationships between students, courses, and faculty. This project showcases logical data management, analytics, and decision-making skills.