Designed and developed a university admission management and analytics platform. Built ETL pipelines using Talend for extraction, transformation, validation, and loading from multiple sources. Designed logical and physical data models using data warehousing principles and SQL Server. Developed machine learning and deep learning models for candidate analysis, classification, clustering, and admission prediction. Created Power BI dashboards to monitor admission trends, candidate KPIs, and operational performance. Applied Agile/Scrum practices and GitHub version control