I am a student at the Faculty of Artificial Intelligence, specializing in Machine Learning and Data Science. I have a solid foundation in Data Analysis, and I’m passionate about transforming raw data into meaningful insights that support better decision-making.
I have hands-on experience with Python programming and its key data science libraries, including Pandas, NumPy, Matplotlib, and Seaborn, as well as Scikit-learn for building and evaluating machine learning models. I’m also familiar with SQL for data handling and visualization.
I constantly work on improving my technical and analytical skills through real-world projects, aiming to create intelligent, data-driven solutions. My goal is to combine analytical thinking with machine learning to deliver practical and impactful results.
Skills & Tools
Machine Learning (Regression, Classification, Clustering)
Data Analysis & Data Cleaning
Python Programming (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn)
SQL & Database Management
Data Visualization (plotly, Matplotlib)
Artificial Intelligence Concepts
Problem solving & critical thinking
Exploratory Data Analysis (EDA)
Feature Engineering & Model Evaluation