Data science projects

I have worked on diverse data science projects that showcase my expertise in machine learning, SQL, and data visualization. My projects include movie trend analysis, where I examined industry patterns to guide strategic production decisions, and a sentiment analysis of news articles, utilizing the Reuters-50-50 dataset to classify sentiments and understand public opinion. Additionally, I developed a personalized recipe recommendation system based on user feedback, leveraging collaborative filtering techniques to enhance user experience. Through these projects, I have applied predictive modeling, supervised learning, and data-driven insights to solve real-world problems, demonstrating my ability to turn raw data into actionable intelligence.