Experienced Data Analyst with 4+ years of success in the telecommunications industry, specializing in data warehousing, business intelligence, and analytics. Proficient in collecting business requirements, analyzing data, and designing, developing, testing, implementing, and documenting solutions. Skilled in collaborating with stakeholders to deliver impactful insights and drive strategic initiatives. Seeking opportunities to leverage my expertise and contribute to a dynamic team in achieving organizational goals.
Medical Diagnosis System - Graduation Project
Developed a comprehensive system to centralize data from hospitals and clinics, aimed at monitoring their performance and detecting epidemics within specific cities. The project involved the creation of a sophisticated data warehouse containing over 500 million records detailing the health status across the United States. Utilized advanced technologies including Oracle Database 12c, SQL Developer, PL/SQL, Oracle Data Integrator 12c, Oracle Business Intelligence Enterprise Edition 12c, and Oracle Data Miner to analyze and manage the vast dataset effectively.
Online Cinema Booking System Database
Designed and implemented a robust database system for an online cinema booking platform, enabling users to access detailed information about currently screening movies, showtime, and theater locations. The system facilitated seamless online booking of tickets, providing users with the convenience of secure payment options including Visa. This project leveraged modern database technologies to streamline the cinema booking experience and enhance customer satisfaction.
General Inventory System
Developed a comprehensive inventory management system capable of efficiently handling inventories across various commercial categories. The system provided detailed management of inventory requirements, ensuring accurate tracking and optimization of stock levels. Leveraging advanced functionalities, this system empowered businesses to streamline their inventory processes and enhance operational efficiency.