Open to opportunities

Hajar LACHHEB

@hajarlachheb

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Data scientist focused on production-grade ML, privacy-preserving AI, and scalable cloud-native deployments.

Spain

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What I'm looking for

I seek a role building production ML/AI products with strong cross-functional collaboration, emphasis on privacy/security, cloud-native deployment, and opportunities to scale models to impact business outcomes.

I am a data scientist with 3+ years building and shipping data products across e-commerce, digital health, and cloud-native environments, delivering solutions from idea to production using Python, SQL, PyTorch, Docker, Kubernetes, and MLflow.

I have built fraud and duplicate detection systems (92% model accuracy, 27% reduction in fraudulent listings), developed scalable Marketing Mix Modeling pipelines on GCP that improved processing efficiency by 90%, and researched privacy-preserving methods for LLMs applied to healthcare.

I collaborate cross-functionally with product, engineering, and business stakeholders to translate complex data into actionable insights, and I seek roles where I can advance secure, trustworthy ML in production at scale.

Experience

Work history, roles, and key accomplishments

Current

Data Consultant

Current

S360 — MMM Meridian Google Consulting

Apr 2025 - Present (5 months)

Designed and deployed cloud-native Marketing Mix Modeling pipelines on GCP, improving processing efficiency by 90% and automating ETL, feature engineering, and model orchestration to deliver actionable marketing insights.

GCP)BigQuery ETL MLFlow Docker Kubernetes

Data Scientist

CRISES Research Group, Univ. Rovira i Virgili

Jan 2024 - Apr 2025 (1 year 3 months)

Researched generative AI and LLM security, developing privacy-preserving frameworks for safe healthcare AI and publishing results at international conferences to advance compliance-critical solutions.

Generative AI PyTorch Research GDPR Compliance

Data Scientist

Adevinta

Sep 2022 - Jan 2024 (1 year 4 months)

Built and deployed fraud and duplicate detection systems for a high-scale marketplace (100k+ daily listings), achieving 92% accuracy and reducing fraudulent listings by 27% while delivering NLP models and monitoring dashboards for product teams.

Fraud Detection NLP Python SQL Monitoring Docker

Research Assistant

Institut de Robòtica i Informàtica Industrial

Jan 2023 - Dec 2023 (11 months)

Researched reinforcement and continual learning for robotics and developed lifelong learning algorithms to enable adaptive robot behavior for long-term deployments.

Reinforcement Learning Python Robotics Algorithm Development Research

Computer Vision & Risk Management Intern

Scientific Institute of Rabat

May 2022 - Aug 2022 (3 months)

Developed an AI-powered agricultural risk monitoring system using computer vision to detect plant diseases and hazards with 85% accuracy and built real-time alert dashboards for early intervention.

Computer Vision Python Dashboarding Model Evaluation Alerting

Program Manager

MCISE

Sep 2020 - May 2022 (1 year 8 months)

Managed four entrepreneurship programs including one international initiative, supporting 100+ startups through training, mentorship, funding coordination, and impact measurement framework design.

Program Management Mentorship Impact Measurement Monitoring & Evaluation

Intelligence & Strategy Intern

Digital Development Agency

Jun 2021 - Aug 2021 (2 months)

Produced intelligence reports on digital trends, conducted a feasibility study for a Knowledge Management Platform, and designed KPI dashboards in Power BI to support strategic decision-making.

Research Power BI KPI Design Reporting feasibility studies