Dynamic and innovative professional with a comprehensive background in both Data Engineering and Machine Learning gained through 2 years of experience and internships. Proficient in designing, implementing, and optimizing scalable data pipelines and ETL processes using SQL, Python, and cloud-based technologies such as AWS or Azure. Skilled in data preprocessing, feature engineering, and exploratory data analysis to prepare datasets for machine learning model development. Demonstrated ability to develop, evaluate, and deploy machine learning models for real-world applications, with a strong understanding of algorithms, methodologies, and performance metrics. A collaborative team player with excellent communication and problem-solving skills, dedicated to driving data-driven insights and innovation in a fast-paced environment.