At this internship I completed 8 projects, I gained a lot of skills:• Database Management - Extract data from SQL and NoSQL databases.• Data Cleaning and Preprocessing - Clean authentic, messy datasets.• Regression and Classification Modeling - Build predictive models for regression and classification.• Building a k-means model to cluster US consumers into groups. using principal component analysis (PCA) for data visualization, and create an interactive dashboard with Plotly Dash.• create a GARCH time series model to predict asset volatility, build an ARMA time-series model to predict particulate matter levels in Kenya.• Data Visualization - Create compelling visualizations to explain data characteristics and model performance.• Ethics in Machine Learning - Discuss the ethical implications of deploying models in the real world and the environmental impact of machine learning models.• Business Insight and Intelligence - Learn how to apply machine learning to business problems.• Conduct a chi-square test to determine if sending an email can increase program enrollment at WQU. • Building custom Python classes to implement an ETL process, and create an interactive data application following a three-tiered design pattern.