Freelancer profile translated to English.

Description

Passionate Data Analyst, I transform raw data into useful information for decision-making. Specializing in Power BI, Excel, SQL, and Python, I undertake short or long-term assignments – from data cleaning and structuring to creating clear and relevant dashboards for performance tracking.

Languages

English
Native or bilingual
Arabic
Native or bilingual
French
Conversational

Workplace preferences

Can work on-site

Lyon (up to 50km)

FADERCO
Production Planner
February 2025 - August 2025 (6 months)
Algiers, Algeria
• Develop and optimize production schedules (monthly/daily) by balancing capacities, resources, and constraints; align with commercial forecasts and warehouse capacities to avoid overstock/shortages while meeting customer deadlines.
• Coordinate daily with production teams to ensure adherence to the schedule, resolve real-time bottlenecks, and optimize sequencing to minimize changeover times and reduce downtime.
• Monitor KPIs and analyze discrepancies between planned and actual results, then generate performance reports for data-driven planning decisions.
Microsoft Excel sap Microsoft Power BI R Qlik sense
ORBICORE
Data Analyst
May 2024 - February 2025 (9 months)
Algiers, Algeria
• Analyze and resolve client challenges, including major clients like Samsung and Danone, by providing actionable insights.
• Extract, clean, and optimize databases to ensure data accuracy and streamline workflows.
• Prepare detailed daily, weekly, and monthly reports to track performance and key indicators.
• Develop interactive dashboards in Power BI, enabling stakeholders to monitor metrics and make data-driven decisions.
• Conduct quality checks and performance evaluations on the field team to improve operational efficiency.
Microsoft Excel Microsoft Power BI Python
La CIAR Assurances
Internship
March 2023 - September 2023 (6 months)
Algiers, Algeria
• Analyze insurance data to extract insights for identifying characteristics of individuals likely to generate claims.
• Implement neural networks to predict clients likely to generate claims by estimating settlement amounts.
• Create data visualizations to communicate results and insights to team members and stakeholders.