Hi! I'm Paula,also known as ssanjua. Passionate about technology and
committed to creating products that make a difference, my
experience in the multimedia sector has shaped me in
leadership and collaborative work. Specialized in
technologies such asJavaScript, React, Node.js, and SQL/NoSQL databases,my projects include applications likeBookeando and YarcoDelivery,covering both backend and frontend. My colleagues highlight
my technical skills as well as mycreative thinking and problem-solving abilities.
Complete project, from the conception of the backend and frontend. Features Stripe, authentication, and end-to-end testing. Users can book a hotel and manage the reservation as a hospitality owner as well.
Full stack food delivery app featuring auth0, Stripe for handling payments, user profiles, and advanced management. Includes order tracking, order management, and menu options.
This course offers a comprehensive curriculum designed to learn the skills needed to build complete web applications. The course covers front-end technologies including HTML, CSS, and JavaScript, as well as back-end development with Node.js and Express. also learned about databases with MongoDB, and Git for version control. The course emphasizes practical, project-based learning.
Led by Professor David Malan, the course covered a broad range of topics including algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. It introduced languages such as C, Python, SQL, JavaScript, CSS, and HTML. Emphasizing problem-solving, the course challenged me to think algorithmically and develop efficient code solutions.
The program covered key areas including data integration, building data warehouses, data lakes, big data processing using Hadoop and Spark, and automating data pipelines with Python and SQL. The course emphasized practical, hands-on learning with tools and technologies essential for managing large data sets effectively. It prepared me to design and maintain robust data systems, enabling efficient data collection, storage, and analysis processes.
An intensive 900-hour Data Science bootcamp. The program was designed in collaboration with industry experts, providing a deep dive into the full data lifecycle, including data analysis, engineering, and science with a focus on real-world applications. Key skills developed: Python, working with large datasets, and implementing machine learning algorithms.
CONTACT
I am eager to connect and explore how we can thrive together.
If you're looking for
dedication and creativity,
I invite you to reach out. Let’s discuss how I can contribute
to your team’s success.