Hi, I'm Candra

Learned the basics of Microsoft Azure AI services, including tools for building intelligent apps using vision, speech, language, and decision-making models. Gained experience in selecting appropriate Azure services to develop scalable and secure AI-powered solutions.

Acquired essential understanding of AI fundamentals, including core concepts in machine learning, neural networks, and natural language processing. Developed awareness of real-world AI applications and the importance of fairness, transparency, and accountability in ethical AI practices.

Learned AWS Cloud fundamentals, including core services, global infrastructure, and pricing models, aligned with international AWS competency standards.

Gained introductory knowledge of machine learning concepts, including supervised and unsupervised learning, model evaluation, and key algorithms. Developed an understanding of how to prepare data, train models, and apply them to solve real-world problems.

Learned the basics of Node.js including asynchronous programming, modules, event-driven architecture, and handling HTTP requests using core modules.

Learned the fundamentals of Java programming including data types, control structures, object-oriented concepts, and basic exception handling.

Learned basic C# syntax, variables, conditionals, loops, and simple object-oriented concepts.

Mastered complex SQL operations including window functions, CTEs, and advanced queries.

Understood basic CSS properties, selectors, and layout styling for responsive design.

Learned basic Python syntax, data types, control flow, and simple function creation.

Practiced joins, aggregations, subqueries, and data manipulation techniques in SQL.

Learned basic SQL syntax, queries, filtering, and sorting data in relational databases.

Learned structured problem-solving techniques for tackling challenges in programming and logic.

Studied core machine learning concepts and built basic models with Python.

Developed proficiency in Kotlin for building modern Android applications.

Gained expertise in machine learning concepts and their applications in real-world scenarios.

Studied core machine learning concepts, built basic models with Python, and applied data visualization techniques.

Mastered Python programming fundamentals and advanced concepts for building robust applications.