Isabelle Bordet

- Analysis of AIRBNB data.

- Use of Python and Tableau.

- Introduction to Data Science.

Data analysis project on the profile of credit card customers and their banking behavior: Objective: Understand customers and the reasons for their churn. Methodology: Use of the Python language and the Tableau visualization tool. Data exploration and identification of trends. Use of a machine learning model to study the variables influencing the churn rate. Relevant insights and recommendations to improve customer retention.

Project: Analysis and presentation of a student funnel on JobTeaser Objective: Increase the conversion rate of students at each stage of the process to maximize the number of candidates for interviews with recruiters Methodology: In-depth analysis of the funnel to understand the student journey and identify drop-off points Use of SQL on Google BigQuery for data analysis and identification of critical stages Strategic recommendations to optimize each stage and reduce premature funnel exits Use of Looker Studio to create clear and interactive visualizations, providing a better understanding of the funnel Acquisition of skills in data analysis, use of the Looker Studio tool, and strategic decision-making based on obtained insights