Resume
Sumary
Aicha Ghanam
Analytical and data-driven professional skilled in data analysis, modelling, and visualization, with a strong focus on transforming data into actionable insights to support decision-making and improvement.
- Thomson Street,Ottawa, ON
- (873) 288-3333
- aichaghanam22@gmail.com
Education
Ontario College Diploma in Applied Data Science
2024 - 2026
University of Valenciennes
Specialized in data analysis, statistical modeling, and machine learning. Gained hands-on experience in Python, R, SQL, and Power BI for real-world data projects. Developed predictive models, data pipelines, and dashboards to support data-driven decision-making.
Master’s degree in Quality, Safety, and Environment Ontario College Diploma in Applied Data Science
2008 - 2010
La Cité College - Ottawa, Canada
Focused on risk management, process optimization, and performance improvement. Applied analytical methods to evaluate operational efficiency and improve quality standards. Developed strong problem-solving and structured thinking skills applicable to data analysis and business strategy.
Professional Experience
Social media data analyst intern
May 2025 , August 2025
Les Éditions Muzikiddy, Montréal, Québec
- Collect and clean data from multiple social platforms (Instagram, YouTube, Facebook, TikTok)
- Develop and maintain automated dashboards and analytical reports using Power BI and Excel
- Identify trends and provide insights and recommendations to support marketing strategy
- Analyze engagement metrics (likes, comments, shares, reach, impressions)
Production planner
January 2013 to April 2022
RENAULT Group - Casablanca, Morocco
- Create and update production plans based on capacity, priorities, and supply data
- Follow production orders and identify possible delays
- Monitor and analyze key indicators KPIs (costs, deadlines, stock levels) to support data-driven decisions and optimize inventory levels
- Interpret production data outputs and provide recommendations to senior management
- Manage action plans and suggest improvements to make processes more efficient
- Validate production data and ensure accuracy across teams using Excel and ERP tools