Skills: Python, Data Cleaning, Data Visualization, Exploratory Data Analysis, Risk Analysis

• Successfully conducted an in-depth data analysis project on loan default, utilizing Python programming and advanced analytical techniques. • Identified key risk factors through data exploration, with notable findings including a negative correlation (-0.75) between credit score and default rate. • Developed predictive models with impressive performance metrics, achieving an accuracy of 85% and precision of 90% in predicting loan default. • Enhanced risk assessment in the lending industry by providing valuable insights for informed decision-making and minimizing potential risks