Freelancer profile translated to English.
Back to original languageAbout Nadya
From Data Engineering to Data Analysis, from Data Science to Artificial Intelligence, I help organizations transform their data into growth levers and strategic decisions. My expertise covers the design and optimization of data pipelines, the performance of advanced analyses and predictive models, as well as the development of interactive dashboards. My goal: to enable business teams to steer more effectively, anticipate trends, and seize new development opportunities.
English
Fluent
French
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- Opella Healthcare (Sanofi Group)Senior Data Analyst / Data ScientistNovember 2024 - Today (1 year and 9 months)• Development of an AI module based on LLM (OpenAI/R) to automate the analysis of verbatim feedback and produce actionable strategic insights for management.• Design of an executive Power BI dashboard (RMoG Execution Assessment), used by over 200 employees and the executive committee to monitor international performance.• Industrialization of analyses through custom R packages (RIM weighting, reporting automation, advanced statistical analyses).• Identification of purchase drivers: identification of the 10 key factors influencing consumer decisions (price, loyalty, awareness, cross-loyalty).• Predictive modeling & customer segmentation to anticipate behaviors and guide marketing strategies. Management of the internalization and industrialization of RMoG in collaboration with McKinsey, ensuring a robust and reproducible tool for global teams.
- CHANELData Analyst / Data Engineer ConsultantApril 2024 - November 2024 (7 months)• Data improvement and reliability: implementation of an automated notebook to identify and correct data errors, thereby optimizing data quality.
- Burger KingData Analyst at BURGER KINGRESTAURANTS AND FOOD SERVICEJanuary 2024 - April 2024 (3 months)Clichy, France In-depth analysis of the impact of deploying a roulette game for loyalty program members on key performance metrics:o Extraction of detailed sales datao Cohort analysis to evaluate progression on certain indicators (frequency, retention rate…)o Comparative analysis by isolating a control groupo Identification of additional revenue generatedo Study of customer behavior after transforming the roulette into a scratch game and evaluation of its impact on performanceo Evaluation of the evolution of customer segmentation (RFM) following the use of the roulette Analysis of the performance of Marketing campaigns (temporary promotion of new products) for all customers (loyalty and other) Participation in the preparation of a Marketing seminar on performance analysis by preparing the presentation of the observed results Participation in workshops to adjust the sales prediction model
Reviews
Recommendations
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Education
- Intensive training in Python and PySpark (data engineering)ArollaFormation intensive sur Python et PySpark (data engineering)
- Machine Learning training with R,ATFE Tunis2016Formation machine Learning avec R,
Certifications
- Google Cloud Platform - Professional Data EngineerGOOGLE2022