Data tells stories, and I’m driven by the passion to uncover the most impactful ones.With a solid foundation in Data Science and Machine Learning, I specialize in transforming raw data into actionable insights that drive business decisions. My journey began with a Bachelor's degree in Computer Science, where I honed my expertise in Python, SQL, and data visualization. Currently pursuing a Master's degree in Data Analytics Engineering at Northeastern University, I continuously push the boundaries of data's potential to solve real-world problems.During my internships, I’ve contributed to projects that include improving loan default prediction models by 20% through advanced feature engineering and optimizing machine learning models with LightGBM. Additionally, I developed a fraud detection system that analyzed over 300,000 credit card transactions, enhancing accuracy to 98.74% by addressing class imbalance with SMOTE. These hands-on experiences have sharpened my ability to work with large datasets, develop predictive models, and create solutions that empower data-driven decision-making.I thrive on challenges, whether it’s optimizing machine learning models, analyzing massive datasets, or developing predictive models that enable smarter business decisions. My goal is to blend analytical rigor with creative thinking to unlock the true potential of data for any organization.Let’s connect and explore how data can inspire innovation and create meaningful impact.