Linda Aida
About Linda Aida
Linda Aida is a Data Scientist currently employed at TD Insurance in Montreal, Quebec, Canada. She specializes in machine learning algorithms, particularly in predicting auto claims frequency using Python and XGBoost.
Work at TD Insurance
Linda Aida has been employed at TD Insurance as a Data Scientist since 2020. In her role, she focuses on advanced analytics, utilizing machine learning algorithms to enhance data-driven decision-making. Her work involves conducting clustering analyses and incorporating GIS data layers into telematics data analysis to improve insights related to auto claims.
Education and Expertise
Linda Aida earned her Bachelor's degree in Mathematics and Statistics from Université de Montréal, completing her studies from 2016 to 2019. Her academic background provides a strong foundation for her specialization in data science, particularly in the application of machine learning algorithms using Python. She is proficient in using XGBoost for feature selection and optimizing model performance.
Background
Prior to her current role at TD Insurance, Linda Aida worked as an Actuarial Analyst at Willis Towers Watson for three months in 2019. Her experience in the insurance sector has contributed to her understanding of data analytics in relation to auto claims. Additionally, she served as Editor In Chief for L'Axiomatique, a magazine for the Association of Mathematics and Statistics students at the University of Montreal, from 2018 to 2019.
Achievements
Linda Aida founded L'Axiomatique, a magazine aimed at Mathematics and Statistics students at the University of Montreal. This initiative reflects her commitment to fostering community engagement and knowledge sharing within her field. Her work in data science includes the application of advanced analytics techniques, such as clustering analyses and the integration of GIS data, to enhance the understanding of telematics data.