Ines is a lifelong learner, an enthusiastic data scientist with an excellent analytical and quantitative ability strengthened through courses in mathematics, statistics and finance. She has experience in managing large datasets, including cleaning and processing, extracting information, conducting statistical analysis, and interpreting results. Ines is proficient in programming languages like Python and R as well as in data visualization tools such as Tableau and Power BI. She has worked on a variety of research projects, utilizing her expertise in mathematical modeling, machine learning, and data science techniques to uncover meaningful insights. Ines is passionate about utilizing her skills to drive informed decision-making and solve real-world problems using data-driven solutions. Her meticulous attention to detail and analytical mindset make her an invaluable asset to any team.