About Yasmine
- Predictive Modeling: Advanced application of Gradient Boosting (LightGBM, XGBoost) and Scikit-learn for complex regression and classification tasks in high stakes markets.
- Multimodal AI & Computer Vision: Implementing SOTA architectures like SigLIP, CLIP, and YOLO for intelligent image understanding, automated quality grading, and object detection.
- AI Orchestration (LLMOps): Building context aware systems using LangChain and managing the model lifecycle with MLflow and KServe for scalable, low latency inference.
- Modern Data Stack: Leveraging Airflow for complex DAG orchestration, and ClickHouse/BigQuery for lightning fast analytical processing.
- Market Valuation: Developed two distinct, high impact engines: a LightGBM model for property sale price prediction and an XGBoost pipeline for rental market forecasting.
- Automated Quality Assessment: Designed a SOTA image scoring system using SigLIP to analyze and grade the aesthetic/structural quality of real estate photography.
- Languages: Python (Expert), SQL, R, Bash.
- Machine Learning: LightGBM, XGBoost, Scikit-learn, SigLIP, CLIP, YOLO.
- AI Ops & Deployment: MLflow, KServe, Airflow, Docker, LangChain.
- Data Architecture: dbt, ClickHouse, BigQuery, MongoDB, AWS Athena.
- Visualization: Metabase, Tableau, Looker.
French
Native or bilingual
English
Native or bilingual
Arabic
Native or bilingual
Spanish
Basic
Experience
- Leboncoin (Adevinta)Freelance Machine Learning EngineerE-COMMERCEMarch 2025 - Today (1 year and 3 months)Paris, France
- Designed, trained, and deployed multiple machine learning models for Leboncoin Immobilier using MLflow, Kubeflow, and Docker/Kubernetes.
- Led the full ML lifecycle, from data collection and feature engineering to model monitoring and performance optimization.
- Conducted in depth analysis of real estate (immo) data to uncover insights, improve search and recommendation systems, and identify new model driven business opportunities
- Collaborated closely with data engineers, product managers, and analysts to integrate models into production and align technical work with business objectives.
- Improved prediction accuracy and inference latency through iterative experimentation and A/B testing.
- Lighthouse (Previously Transparent Intelligence, acquired by OTA Insight)Senior Analytics Engineer / Data ScientistTRAVEL AND TOURISMJanuary 2023 - June 2024 (1 year and 6 months)Madrid, Spain
- Automated delivery processes using Python, R, and Bash scripting to improve operational efficiency.
- Led machine learning projects focused on analysing rental data using Python for comprehensive insights.
- Developed dynamic dashboards with SQL for visualisation of model outputs and actionable insights.
- Ensured data integrity through rigorous validation methods and quality assurance protocols.
- Presented comprehensive findings to clients, facilitating informed decision- making for major Online Travel Agencies and the leading online vacation rental marketplace.
- Transparent IntelligenceData ScientistTRAVEL AND TOURISMAugust 2019 - December 2022 (3 years and 5 months)Madrid, Spain
- Conducted exploratory data analysis to identify trends and patterns. Utilized AWS S3 and Athena for efficient data storage and querying. Implemented automated data processing pipelines with Python and R to streamline workflows.
- Validated data integrity to ensure accuracy in model training and evaluation.
- Developed machine learning initiatives using Python for comprehensive analysis of Short-Term Rental Data.
- Created dynamic dashboards using SQL for clear visualization of analytical outputs.
- Collaborated cross-functionally to support data-driven decision-making. Delivered presentations to clients, effectively communicating analytical findings and insights.
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Education
- Master in Computer Science & Business TechnologyIE University2019
- Bachelor in Business AdministrationAl Akhawayn University2017