I am a motivated machine learning student building a solid foundation in statistics, hypothesis testing, and exploratory data analysis (EDA) using Python. I am gaining hands-on experience with libraries such as pandas, numpy, seaborn, matplotlib, and scikit-learn to clean, explore, and visualize data. I am learning how to formulate and test hypotheses, perform significance testing, and apply statistical techniques like t-tests, ANOVA, and chi-squared tests to generate insights from real-world data. So far, my projects have included customer churn analysis and insurance risk assessment, focusing on data wrangling, feature engineering, and end-to-end reporting. I am passionate about using analytical skills to solve problems and present findings to both technical and non-technical audiences. My next steps are to deepen my understanding of supervised and unsupervised learning, as well as explore deep learning techniques to expand my expertise in modern AI.…I am a motivated machine learning student building a solid foundation in statistics, hypothesis testing, and exploratory data analysis (EDA) using Python. I am gaining hands-on experience with libraries such as pandas, numpy, seaborn, matplotlib, and scikit-learn to clean, explore, and visualize data. I am learning how to formulate and test hypotheses, perform significance testing, and apply statistical techniques like t-tests, ANOVA, and chi-squared tests to generate insights from real-world data. So far, my projects have included customer churn analysis and insurance risk assessment, focusing on data wrangling, feature engineering, and end-to-end reporting. I am passionate about using analytical skills to solve problems and present findings to both technical and non-technical audiences. My next steps are to deepen my understanding of supervised and unsupervised learning, as well as explore deep learning techniques to expand my expertise in modern AI.WWWW…