I am Naafay,
Student,
Developer based
in Pakistan.

Developed and deployed AI solutions for healthcare data processing, processing 500k+ patient records monthly; implemented voice automation systems handling 10k+ daily interactions with 92% accuracy rate. Built 15+ business intelligence dashboards using Python, SQL, and BI tools; reduced data processing time by 60% through automated pipelines; improved healthcare system efficiency by 35% via predictive analytics. Collaborated with cross-functional teams of 8+ members to deliver data-driven insights; contributed to 3 major AI initiatives in Healthcare Information Systems; reduced manual reporting workload by 50% through automation.

Engineered automated ETL (Extract-Transform-Load) pipelines using SSIS and SQL Server, processing 2M+ rows weekly; reduced manual data processing time by 40%; refactored one pipeline to run 40% faster via batching and indexing. Designed data warehousing schemas (star/snowflake) for 10+ source systems; consolidated enterprise data for reporting and analytics. Developed 12+ Power BI dashboards for KPI visualization adopted by 25+ stakeholders; wrote SQL queries and Python scripts for data validation; presented insights to senior leadership.

Delivered technical tutorials on Python (Pandas, Seaborn, NumPy) for data wrangling, exploratory data analysis (EDA), and statistical analysis. Designed data science projects enabling MBA students to derive actionable business intelligence from complex datasets using machine learning concepts.

Mentored 300+ students on backend integration using C#, .NET, and MSSQL; taught CRUD operations, stored procedures, and API design. Managed Docker containerization for SQL Server deployments, ensuring consistent dev/staging environments and CI/CD-friendly workflows. Guided best practices in database security: AES-256 encryption, role-based access control (RBAC), and session management.