I'm Jithu Baiju, a passionate Web Developer and Data Science enthusiast. I specialize in creating dynamic and responsive web applications using technologies like HTML, CSS, JavaScript. I also have a growing interest and experience in Data Science, working with data analysis, Python, and machine learning to derive meaningful insights.
Passionate about crafting clean websites and uncovering stories hidden in data. I build with HTML, CSS, JavaScript, and explore data using Python and machine learning.
I work with a range of technologies in web development and data science. My main tech stack includes HTML, CSS, JavaScript, Node.js, and MongoDB for building full-stack web applications. I also use Python for data analysis and machine learning. I'm always exploring new tools to stay updated and improve my workflow.
I'm open to remote work and comfortable working across different time zones. I value clear communication and can easily adapt to your preferred tools and schedules.
I love solving problems and bringing ideas to life through code. Whether it's building websites, analyzing data, or learning new technologies, coding is something I genuinely enjoy and constantly strive to get better at.
N.O.V.A. is your personal AI assistant project inspired by JARVIS, designed to behave more dynamically than a simple command-based bot. It’s meant to interact intelligently, understand natural language, and perform tasks rather than just answer questions.
ai-dbug is a smart Python package that automatically catches errors in your code and explains them in plain English, along with practical fixes. Instead of getting cryptic error messages, you get human-friendly explanations that help you understand what went wrong and how to fix it.
I enjoy creating clean and user-friendly web interfaces with a focus on simplicity and usability. I pay attention to layout, color, and responsiveness to ensure a smooth user experience across all devices.
I love turning ideas into reality through code. From building responsive websites to exploring data with Python, I enjoy solving real-world problems using clean and efficient code.
Interested in working together or have any questions? Feel free to reach out — I'm always open to new opportunities and collaborations.