About me
With my background in full-stack development, I enjoy building things that people can interact with and find useful. I'm fascinated by the way data tells stories, so I've delved into machine learning and deep learning theories to understand how we can extract valuable insights from it. Whenever there's a problem to solve, I turn to Java and my knack for finding creative solutions. Visualizing data brings it to life for me, and I love exploring the stories it reveals. Plus, I've got certifications in SQL and MongoDB, so I know my way around databases pretty well.
Lately, I've been really intrigued by big data engineering – there's something so satisfying about working with massive amounts of data and turning it into something meaningful. Overall, I'm just someone who's passionate about using technology to make a positive impact and solve real-world challenges.
What I'm doing
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Web & App design
Websites and mobile apps developed with React and React Native, powered by robust backends built on Node.js and Express, seamlessly integrate databases like SQL, MongoDB, or Firebase.
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Machine Learning
Machine learning projects leverage algorithms to analyze data and make predictions or decisions without being explicitly programmed.
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Object Oriented Programming
These projects often embody key OOP principles such as abstraction, encapsulation, inheritance, and polymorphism.
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Data Visualization
Data visualization and analysis projects leverage tools like Tableau and Python with SQL to transform raw data into insightful visualizations and actionable insights.
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Azure Tools
Creating real-time applications with Azure involves leveraging its suite of cloud services for data processing, storage, and communication. Azure offers services like Azure Stream Analytics for real-time data processing, Azure Cosmos DB for scalable NoSQL database storage, and Azure SignalR Service for real-time communication