kimete bilalli

In my role as a Lecturer, I specialize in imparting knowledge in the dynamic fields of Artificial Intelligence and Machine Learning. My focus areas include: - Artificial Intelligence - Machine Learning - Python I am dedicated to providing students with a comprehensive understanding and practical skills in these cutting-edge technologies to prepare them for the challenges of the modern world.

As an Instructor at RIT Kosovo (A.U.K) since September 7, 2016, my role centers on equipping students for success in data management and analytics. I specialize in: - SQL Server - Data Warehouse - Microsoft Power BI - NoSQL (MongoDB, Redis) I focus on providing practical knowledge and hands-on experience in these key areas to ensure students are well-prepared for the evolving landscape of data analytics.

Work on data quality and contribute to data warehouse architecture. ⯀ Design and implement data models. ⯀ Develop SSRS Reports with diverse features and Power BI reports and dashboards. ⯀ Set up staging databases using SSIS for temporary data processing. ⯀ Create and enhance SSIS Packages with various data transformations for efficient data loading. ⯀ Address ad hoc requests for immediate modifications to procedures, tables, or reports, ensuring timely solutions.

System & Data Management: Developed Oracle Data Warehouse for TAK System. Implemented SSIS for data consolidation. Data Integration & Visualization: Designed data models using SSAS and Oracle SQL. Created visualizations (SSRS, JavaScript, RDF). Database Management: Executed creation and implementation of database components. Project & Risk Analysis: Utilized Oracle, SSRS, and SharePoint. Developed queries, procedures, and views for tax evasion identification. Aggregated data for decision-making visuals.

Created Oracle Forms and Reports applications. Designed, developed, and maintained Oracle databases, handling tables, views, stored procedures, functions, packages, constraints, indexes, and triggers. Used PL/SQL and SQL*Loader for data import. Ensured data accuracy via referential integrity constraints. Collaborated with users for requirements, application development, training, troubleshooting, and change requests. Consulted on software errors/inefficiencies, providing recommendations for changes.

Data entry of taxpayers into the computer system of CFA including data from businesses and legal persons. Design and develop with programming language Visual Basic, and SQL Server, Microsoft Access.