I'm a Computer Engineering student building practical skills in data analysis, machine learning, and software development.

I learn by building projects, understanding the problems behind the code, and documenting what I discover along the way.

• R - programming fundamentals, data manipulation, visualization, and statistics
• Data analysis - cleaning, exploration, interpretation, and communication
• Machine learning - modelling, evaluation, and feature engineering
• Git & GitHub - version control and collaborative development

Languages Python · R

Data & ML pandas · NumPy · scikit-learn · TensorFlow / Keras

Visualization Matplotlib · ggplot2

Tools Git · GitHub · Jupyter · Google Colab

A machine-learning project focused on predicting Air Quality Index from pollutant and weather data.

Focus areas:

• Data preprocessing and exploratory analysis
• Feature analysis and visualization
• Machine-learning modelling
• Neural-network modelling
• Evaluation using MAE, RMSE, and R²

More projects will be added here as I build them.

My long-term goal is to become a strong data and AI engineer by developing deep fundamentals, building increasingly challenging projects, contributing to open source, and communicating technical ideas clearly.

I care more about understanding and building than simply collecting technologies or certificates.

Learn → Build → Debug → Understand → Document → Share → Improve

This profile is a record of my journey from learning the fundamentals to building real-world technical projects.