I'm a Data Analyst and Machine Learning enthusiast with a strong interest in working with data and building practical, data-driven solutions. I enjoy exploring datasets, finding meaningful insights, and using them to solve real-world problems.
I work with Python and SQL, and I have experience with data cleaning, preprocessing, visualization, and machine learning using **Pandas, NumPy, Scikit-learn, Matplotlib, and Power BI.
I've worked on projects such as a Heart Failure Prediction model with an interactive Power BI dashboard, transforming a Supermarket Database from 1NF to 3NF and designing a Star Schema for analytics, and developing a Hotel Booking Recommendation System using PySpark (ALS).
I'm always learning and improving my skills through hands-on projects, and I'm looking for opportunities where I can grow as a Data Analyst and Machine Learning Engineer while contributing to real-world, data-driven solutions.