Angelica Dias

Dedicated data analyst with a proven track record in providing Level 3 technical support at a global scale. Skilled in Python, Microsoft SQL Server, PowerBI, Tableau. Recognized for delivering exceptional performance and awarded for customer satisfaction. Seeking to leverage analytical skills and technical expertise in a challenging data analyst role.

Restaurant recommendation system

This project combines the power of CSharp for backend development, Python for machine learning, and Microsoft SQL Server for data management, aiming to create a user-friendly web application that provides personalized restaurant recommendations based on user preferences and choices by utilizes a machine learning algorithm to group similar users and choices.

Attendance and Leave management system

By leveraging CSharp and Microsoft SQL Server, this robust web application was developed that streamlined the leave management process, ensured accurate attendance records, and provided managers with the tools to effectively approve or reject leave requests.

The entire leave management module was self-developed.

Data analysis with Python