Data Science Intern
Created advanced visualizations with Matplotlib and Seaborn, enhancing data interpretation and project insights.Improved data quality by 30% through optimized Pandas techniques for handling missing values and transforming data.Conducted EDA to reveal variable relationship and insights, supporting better decision-making.Achieved a 25% boost in predictive accuracy by building and evaluating models like Logistic Regression & Decision Trees.Enhanced model performance by 15% using evaluation metrics to identify the most accurate models.