Freelancer profile translated to English.
Back to original languageAbout Hamis
Passionate about new technologies and the Web, I specialized in Digital Data Analysis. I combine my skills in Statistics, Economics, and my knowledge of Digital to offer new perspectives for analyzing Web data. I am also an Associate Professor at the University of Paris Marne Est La Vallée, where I introduce M1/M2 students to the collection and analysis of digital data.
English
Fluent
French
Fluent
Yoruba
Native or bilingual
Remote only
Primarily works remotely
Experience
- Parfums Christian Dior
On Malt
Analytics Engineering – Drive to Store Measurement | Christian DiorLUXURY GOODSFebruary 2026 - March 2026Paris, FranceAs part of supporting Christian Dior in measuring Drive-to-Store performance, I designed and implemented an Analytics Engineering solution to link digital interactions to in-store conversions.The mission involved structuring the entire data chain to produce reliable and actionable measurement of in-store visits generated by digital journeys.My main contributions:• Data modeling and structuring to link web analytics to point-of-sale visits• Building data pipelines to consolidate data from digital journeys (web analytics, behavioral events, intent signals)• Developing a Drive-to-Store measurement model with a post-visit attribution window to identify offline conversions• Creating an analytical data model to track key indicators: identified visitors, identification rate, Drive-to-Store conversion, transactions, and sell-out• Industrializing data transformations to ensure the reliability and reproducibility of metrics• Designing a decision-making dashboard for marketing and retail teams to track the performance of digital initiatives generating store trafficThis solution now enables:• Precise measurement of the impact of digital journeys on in-store sales• Identification of digital interactions that generate the most store visits• Management of Drive-to-Store performance by country and marketing leverThe system provides Christian Dior's teams with a unified view of omnichannel performance, facilitating the optimization of media investments and the activation of levers that generate the most qualified traffic to stores. - Parfums Christian DiorAnalytics Engineering – Data Observability & Automated Analytics AlertingLUXURY GOODSJanuary 2026 - January 2026Paris, FranceTo improve tracking reliability and digital performance management, I designed and deployed an automated alerting system to detect anomalies in analytics tracking and business indicators in real-time.The objective was to implement a Data Observability approach for marketing data, ensuring the quality of collected data and enabling data and marketing teams to quickly identify significant variations in activity.My main contributions:• Design of an anomaly detection engine based on event variation analysis (comparison of D-1 vs D-8 and week-over-week evolution)• Industrialization of an analytics monitoring pipeline to continuously track key GA4 events• Implementation of an automated alerting system sending notifications directly to team collaboration tools• Automatic enrichment of alerts via AI, providing a contextualized diagnosis and hypotheses for explanation (marketing campaigns, UX evolution, tracking anomaly)• Automatic generation of action recommendations to expedite data investigationsThis system now enables:• Rapid detection of tracking or business activity anomalies• Monitoring of key engagement and conversion events• Reduction in data incident identification time• Strengthening of tracking reliability and marketing analysis qualityThis approach transforms analytics monitoring into a proactive system, allowing teams to shift from reactive data analysis to continuous management of marketing data quality and performance.
- Parfums Christian DiorLead Analytics EngineerRETAIL (SMALL BUSINESS)September 2024 - March 2025 (6 months)Paris, FranceJob DescriptionAs Lead Analytics Engineer at Parfum Christian Dior, I lead data architecture and analytical solutions initiatives to optimize data-driven decision-making within the organization.Key AchievementsDuring this assignment, I:• Implemented a robust system to ensure the integrity and reliability of GA4 data collection, enabling in-depth analysis of customer journeys and marketing performance• Developed a real-time alerting infrastructure connecting BigQuery to Teams channels, automating anomaly detection and enabling faster response to incidents• Orchestrated all data pipelines via Kestra, ensuring reliable and scheduled execution of data processing workflows• Implemented dbt for data transformation and modeling, establishing a reliable and documented data repository for business analysis• Designed and optimized complex queries in BigQuery to extract strategic insights from the company's vast data volumesKey Technical Skills• Advanced mastery of the Google Cloud Platform ecosystem, particularly BigQuery• Expertise in data orchestration with Kestra• Development of data models with dbt• Implementation and validation of digital tracking solutions (GA4)• Design of monitoring and alerting systems• Automation of data ingestion and processingImpactMy initiatives have significantly increased data trust and accelerated decision-making cycles, directly contributing to the optimization of Parfum Christian Dior's marketing and commercial strategies.
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Education
- Master 1, Applied EconomicsUniversité de Reims Champagne-Ardenne2013
- Master 2 SEP (Statistics for Evaluation and Forecasting) M.Sc. equivalent, Statistics, Mathematics, Statistics, EconomicsUniversité de Reims Champagne-Ardenne2014
Certifications
- Google AnalyticsGoogle2016