Informatics Engineering student passionate about Data Analyst, Data Science, and Machine Learning.
Interested in transforming data into meaningful insights and building intelligent systems that support real-world decision making.
Currently exploring the intersection of data science, machine learning, physics, and mathematical modeling.
A machine learning system developed to analyze taxpayer behavior and predict compliance tendencies using historical administrative data.
Key concepts:
- Data preprocessing and feature engineering
- Machine learning modeling
- predictive analytics
- analytical dashboard visualization
Tech stack: Python · SQL · Pandas · Scikit-learn · Data Visualization
Machine learning classification project that identifies astronomical objects based on observational data.
Key concepts:
- pattern recognition
- supervised machine learning
- astronomical data analysis
- model evaluation
Tech stack: Python · Scikit-learn · NumPy · Pandas
Implementation of geometric transformations and curve generation using OpenGL and C++.
Key concepts:
- geometric transformations
- bezier curves
- recursive algorithms
- computer graphics
Tech stack: C++ · OpenGL · GLUT
Data analysis project focused on extracting patterns and building predictive insights from structured datasets.
Tech stack: Python · Pandas · NumPy · Scikit-learn
- Python
- SQL
- Machine Learning
- Data Analysis
- Data Visualization
- Scikit-learn
- Pandas / NumPy
- C++ Programming
- OpenGL Graphics
- Statistical Analysis
- Pattern Recognition
- Feature Engineering
- Problem Solving
- Mathematical Modeling
- Analytical Thinking
- Communication
- Empathy
- Problem Solving
- Adaptability
- Team Collaboration
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- AI Engineer
- Technical Project Manager