Bochra Kallala
About Bochra Kallala
Bochra Kallala is a Data Scientist currently employed at Intact in Montreal, Quebec, Canada, where she has worked since 2020. She specializes in transforming data into actionable insights and has a strong background in data visualization and big data analytics.
Work at Intact Financial Corporation
Bochra Kallala has been employed as a Data Scientist at Intact Financial Corporation since 2020. In this role, she focuses on leveraging data to generate useful insights and applications. Her work contributes to the company's data-driven decision-making processes and enhances operational efficiency. Based in Montreal, Quebec, Canada, she has accumulated four years of experience in this position.
Previous Experience in Data Science
Prior to her current role, Bochra Kallala worked as a Data Scientist at CANN Forecast from 2019 to 2020. During this year-long tenure in the Montreal area, she applied her data science skills to forecast trends and improve business strategies. Additionally, she served as a Research and Development Engineer - Data Scientist at Laboratoire d'Informatique de Paris 6 for six months in 2020, where she contributed to various research initiatives in Paris, Île-de-France, France.
Education and Expertise
Bochra Kallala holds a Master's degree in Intelligent Systems from Polytechnique Montréal, where she achieved a GPA of 3.7/4 from 2017 to 2019. She also studied at SUP'COM, earning an IT Engineer degree in Computer Systems and Telecom Networks from 2015 to 2018. Additionally, she completed a program in Business Intelligence at HEC Montréal in 2018, which lasted for 11 months. Her educational background provides her with a strong foundation in data visualization and big data analytics.
Technical Skills and Specializations
Bochra Kallala possesses expertise in data visualization and big data analytics. Her skills enable her to transform complex data sets into actionable insights, facilitating informed decision-making within organizations. This technical proficiency is essential for her roles in data science, where understanding and interpreting data is crucial for developing effective solutions.