À propos de Dounia
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Expériences
- Talabat /Delivery Hero SEData Science Managerjuillet 2024 - Aujourd'hui (1 an et 11 mois)Dubai - United Arab EmiratesLed high-impact cross-functional initiatives at the intersection of product, data, and business, managing a team of data scientists focused on experimentation, search relevance, and new revenue stream evaluation.- Designed and implemented an LLM-powered offline evaluation framework for search performance, enabling scalable relevance audits using AI-assisted annotations.- Identified $50M+ in search opportunity uplift, driving improvements through misspelling correction, personalization, and better vendor availability signals.- Launched data-driven pilots for new monetization features (premium delivery, cash-on-delivery fees, competitive offerings) with $10M+ incremental profit potential.- Solved cold-start problems for vendors using smart tagging and AI-based user-vendor matching to increase exposure and conversions.- Oversaw experimentation design and adoption, helping the product team make evidence-based decisions at scale.
- Talabat /Delivery Hero SESenior Data Scientistmai 2022 - juillet 2024 (2 ans et 2 mois)Dubai - United Arab EmiratesDelivered actionable insights across product and business verticals, with a strong focus on experimentation, user funnel optimization, and impact measurement.- Conducted deep funnel diagnostics and CVR modeling, identifying $80M+ in potential sales uplift—$35M realized from initial feature rollouts.- Led 30+ product experiments from design to analysis, driving decisions on product features, delivery experience, and user retention.- Partnered with CRM, product, and engineering to turn data into real-world results, building metrics dashboards and decision-making frameworks.
- PolyconseilData Scientist & Consultantmars 2019 - avril 2022 (3 ans et 1 mois)Île-de-France, FranceWorked as a full-stack data scientist across consulting missions for public and private clients, driving measurable outcomes from ingestion to insights.- Architected a real-time data ingestion and processing pipeline (Kinesis, Lambda, DynamoDB, Airflow) to handle streaming data efficiently.- Built classification models to segment users for targeting and recommendations on a media platform (AWS Batch, Docker, S3).- Boosted productivity for a team of 50+ analysts by designing aggregated data sources and dashboards (Redshift, Teradata, PowerBI), reducing reporting time by 60%.- Successfully embedded in client teams, adapting to a range of technical maturity levels and business needs.
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Formations
- Bachelor of EngineeringTelecom ParisTech2019Bachelor of Engineering
- Masters degreeÉcole Polytechnique2019Master 2 (M2)