Stages pour les candidats qui parlent Anglais

• Sorted and organized files, spreadsheets and reports.
• Analyzed problems, identified solutions and made decisions.
• Completed research, compiled data, updated spreadsheets and 
produced timely reports.
• Worked on projects using knowledge gained in classes to put 
together recommendations for issues.
• Collaborated in professional team to solve workflow issues.
• Maximized productivity by analyzing protocols and identifying 
areas for improvement.

Conducted data cleaning, integration, and visualization in Python (Pandas,
Seaborn) to analyse sales trends and customer loyalty performance.
Identified top-performing product categories and regional delivery inefficiencies,
providing actionable business insights.
Customer Sign-Up Behaviour & Data Quality Audit . Cleaned and analyzed SaaS
customer data using Python to assess data quality and uncover trends in user
acquisition, marketing opt-ins, and support behaviour. Delivered insights to guide
marketing and onboarding strategies.
Built an end-to-end churn analysis in Python (pandas/sklearn) on 1.5K users:
cleaning, EDA visuals and chi-square/t-tests.
Developed an interactive Executive KPI Dashboard in Tableau integrating multi-
source sales, customer, and product data.
Delivered actionable insights on revenue, profit margin, and customer trends.