Hello! I'm Iris. I apply my skills in data visualization, machine learning, Python, and SQL to deliver insights and solutions for various projects and clients. I hold a master's degree in analytics from McGill University, where I studied statistics and learned how to use data to solve complex problems. I have experience in data analysis, having worked for different organizations such as the National Research Council Canada, Kruger Inc., and NetEase Games. In my previous roles, I conducted market research, analyzed customer behavior, created dashboards and reports, and supported decision-making. I am passionate about discovering patterns and trends in data, and I enjoy working with diverse and collaborative teams. My goal is to use data to drive innovation and create impact in the fields of science, business, and society.Programming Languages: SQL, Python (Pandas, NumPy, Matplotlib, Seaborn, Selenium, scikit-learn), R, SASSoftware: Power BI, Excel (Pivot Table, VLOOKUP), Word, PowerPointMachine Learning Models: Regression, KNN, K-Means, Decision Trees, Gradient Boosting Machines, Time Series ModelsCheck out my GitHub page: https://github.com/irislxr-821Let's connect :)