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Yasmine L.YL

Yasmine L.

Supermalter

Senior Data Scientist | ML Engineer

€390/day
1 project
Madrid, ES
8-15 years

Average response time: 1 hour

About Yasmine

With 7 years in the data science lifecycle, I specialize in the architecture and deployment of end to end machine learning pipelines. My expertise lies in engineering high precision predictive systems from unstructured data, leveraging SOTA deep learning architectures and robust feature engineering to bridge the gap between research and production grade AI

Expertise & Technical Mastery
  • 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.
Featured Projects

Real Estate Intelligence / Rental Models:
  • 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.
Geospatial Analytics & Enrichment: Engineered a data driven framework integrating ArcGIS geospatial intelligence with large scale property data to identify hyper-local market trends.

Technical Toolkit
  • 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

Can work on-site
Madrid (up to 50km), Barcelone (up to 10km), Málaga (up to 50km)

Experience

  • Leboncoin (Adevinta)
    Freelance Machine Learning Engineer
    E-COMMERCE
    March 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.
    MLflow Kubeflow Airflow Scikit-learn Docker
  • Lighthouse (Previously Transparent Intelligence, acquired by OTA Insight)
    Senior Analytics Engineer / Data Scientist
    TRAVEL AND TOURISM
    January 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.
    Python R Looker Scikit-learn MLflow
  • Transparent Intelligence
    Data Scientist
    TRAVEL AND TOURISM
    August 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.
    Python SQL MongoDB Metabase Clickhouse

Reviews

5,0

Out of 1 rating

GaëlG

Gaël

Data Scientist - Real Estate Data Tooling - Leboncoin - Spain sourcing

Less than 1 year project

-

Reviewed on 12/01/2026

Yasmine joined our team for an 18-month mission to help accelerate the delivery of data-science-driven products in the real estate domain. As a Data Scientist, Yasmine demonstrated strong commitment in tackling the problems we were facing. She ramped up very quickly and collaborated effectively with her colleagues in the data team. She is consistently proactive in proposing solutions and regularly shares the results of her experiments with the team and the data guild. Although she was not initially comfortable with machine learning model serving, she learned quickly through close collaboration with our Data Engineer. Their interactions were very smooth, enabling her to independently handle certain deployments and updates. She also made valuable contributions by proposing state-of-the-art models to address some of our challenges, and she was able, when necessary, to take on a Data Analyst role. She worked in excellent harmony with her counterpart despite the distance (she was working remotely). Yasmine is always positive and contributes enthusiastically to all topics, whether technical, organizational, or interpersonal. Our interactions have always been very smooth and transparent, and she integrated into the team just as a full-time employee would have.

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Education

  • Master in Computer Science & Business Technology
    IE University
    2019
  • Bachelor in Business Administration
    Al Akhawayn University
    2017

Skill set

Categories