Merna H.

Motivated and detail-oriented Data Analyst with a strong background in Python, SQL, and machine learning. Experienced in data cleaning, preprocessing, and visualization using libraries such as Pandas, NumPy, Matplotlib, and Seaborn. Applied advanced analytical techniques in real-world projects, including customer segmentation for retail and banking data using K-means clustering, sentiment analysis on Amazon reviews using NLP techniques and Logistic Regression, and building a music recommendation system with Random Forest. Additional experience in computer vision projects such as autonomous vehicle simulation using ROS2 and Hough transform. Skilled at transforming complex datasets into actionable insights and delivering clear visualizations that support business decision-making. Passionate about leveraging data-driven approaches to solve problems, enhance performance, and create innovative solutions.