Conducted exploratory data analysis (EDA) to understand the dataset and extract meaningful insightsDeveloped insightful visual representations of data trends and distributions through advanced Python libraries, leading to a 25% improvement in decision-making processesEngineered and deployed machine learning algorithms, including collaborative and content-based filtering, enhancing recommendation accuracy by 45% and boosting user engagement metrics by 20%