I am a Computer Engineering student with a strong passion for building intelligent and scalable digital products. My work sits at the intersection of Data Science, Machine Learning, and modern Web Development.

• Data analysis and manipulation using Python and Pandas

• Data visualization and exploratory data analysis

• Machine learning models including regression and classification

• Clustering techniques such as K-Means

• Feature engineering and dimensionality reduction (PCA)

• Introduction to Deep Learning and Computer Vision

• Time series analysis and forecasting

Alongside my data science background, I also develop modern web applications using:

• Next.js

• React

• Tailwind CSS

• Supabase

I enjoy building data-driven applications, AI-powered tools, and scalable web platforms that combine strong backend logic with clean user experiences.

Currently, I am focused on expanding my expertise in Machine Learning and AI systems, while continuing to build real-world web applications.

I am open to remote opportunities, collaborations, and innovative projects in:

• Data Science

• Machine Learning

• Deep learning

• Frontend Development