You're seeing this page as if you were . The main menu is still yours, though. Exit from immersion
Malt Strategy
New report
Malt Tech Trends 2026
Laurene P.LP

Laurene P.

Data Scientist | Tech Lead Data (analytics, model)

€520/day
Paris, FR
3-7 years
Data analysis
Machine learning
Python
Business Analytics
Data Engineering

Average response time: 1 hour

Freelancer profile translated to English.
Back to original language

About Laurene

Data Consultant with several experiences in demanding environments, I support companies in leveraging their data, from structuring to decision-making.

I work across the entire data value chain:
✓ Data collection, cleaning, and structuring (ETL, data pipelines)
✓ Exploratory analysis and identification of high-value insights
✓ Predictive model development (forecasting, segmentation, scoring)
✓ Creation of dashboards and steering tools for business teams

My approach combines analytical rigor, business understanding, and the ability to deliver directly usable solutions.

Accustomed to working on complex issues, I work autonomously while collaborating closely with business and decision-making teams. I would be very happy to contribute to your projects and actively participate in their success.

  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 20km)

Experience

  • Scentair
    Innovation Manager | Modeling & Strategic Decision
    CHEMICAL
    March 2022 - December 2025 (3 years and 9 months)
    Toulouse, France
    ➤Structuring and exploiting multi-source data (CRM, sales, consumer studies) via ETL pipelines (Python, pandas) with quality control (data validation, outlier management).
    ➤Design and deployment of a demand forecasting model based on hybrid approaches (regularized regression, Random Forest, Gradient Boosting), with hyperparameter optimization (Grid Search / Cross-Validation).
    ➤Implementation of advanced feature engineering: encoding, scaling, variable selection, dimension reduction (PCA) to improve model robustness.
    ➤Advanced statistical analysis: hypothesis testing, ANOVA, correlation analysis, confidence intervals, to evaluate the impact of product variables on performance and well-being indicators.
    ➤Translating results into strategic recommendations, directly contributing to the signing of +€500K in contracts.
    ➤Producing decision-making deliverables (dashboards, executive summaries) for non-technical stakeholders.

    Stack: Python (pandas, scikit-learn), predictive modeling, advanced statistics, data storytelling
    Python Data analysis Predictive modeling Feature Engineering Statistical data analysis
  • L'Oreal
    Data Engineer | Data Pipeline & Innovation
    LUXURY GOODS
    January 2021 - February 2022 (1 year and 1 month)
    Paris, France
    ➤Design of a digital e-commerce tool based on a recommendation engine (rule-based + algorithmic scoring) integrating behavioral data and product attributes.
    ➤Architecture and implementation of robust data pipelines (collection, cleaning, transformation) via Python / SQL, with structuring into usable datasets for analysis and machine learning.
    ➤Industrialization of processing via automated scripts and workflows, ensuring data reliability, traceability, and scalability.
    ➤Conducting advanced exploratory data analysis (EDA): anomaly detection, segmentation, identification of performance drivers.
    ➤Development of interactive dashboards (Power BI) for operational and strategic management.

    Stack: Python, SQL, data pipelines, EDA, automation, data visualization
    Data Reporting Data analysis, Data visualization, SQL, Microsoft Excel, Python Tool creation Strategic Insights Digital tool
  • UCAR
    Data Analyst | Data Strategy & New Product Design
    AUTOMOBILE
    November 2019 - December 2020 (1 year and 1 month)
    Paris, France
    ➤Definition and implementation of a complete data strategy: scoping needs, defining KPIs, structuring data flows.
    ➤Development of supervised and unsupervised machine learning models (classification, K-means clustering) for customer segmentation and usage pattern detection.
    ➤Performance optimization through feature engineering, model tuning, and statistical validation.
    ➤Manipulation of large datasets via advanced SQL (complex joins, aggregations, query optimization).
    ➤Integration of external data sources and implementation of data quality management processes (validation, monitoring, consistency).
    ➤Identification of key insights and recommendations to optimize product and business performance.

    Stack: Python (scikit-learn), SQL, machine learning, data analysis, data quality
    Machine learning Definition and monitoring of indicators (KPI) Data Management database-management Business improvement

Recommendations

Be the first to recommend Laurene

Help this freelancer shine by sharing your experience working together.

These freelancer profiles also match your criteria

AgathaA

Agatha Frydrych

Backend Java Software Engineer

4.7

(3)

2

BaptisteB

Baptiste Duhen

Fullstack developer

4.6

(4)

5

AmedA

Amed Hamou

Senior Lead Developer

4

(2)

7

AudreyA

Audrey Champion

Web developer

4.3

(3)

4

Signup to reveal

Education

  • Data Science - Machine Learning
    Ecole Polytechnique Fédérale de Lausanne
    2020
  • Chemical Engineer
    Ecole Polytechnique Fédérale de Lausanne
    2019

Skill set

Cloud Platforms and Infrastructure
Algorithms and Data Structures
Data Pipelines and Warehousing
Database Management (e.g., SQL, NoSQL)
Data Cleaning and Preprocessing
ETL (Extract, Transform, Load) Processes
Machine Learning Theory
Prompt Engineering
Predictive Modeling
Recommender Systems
Model Training and Evaluation
Natural Language Processing (NLP)
Model Optimization
Computer Vision / Image Processing
Deep Learning
Feature Engineering
A/B Testing
AI and Advanced Analytics
Business Intelligence (BI) Strategy
Exploratory Data Analysis
Data Visualization
KPIs and Metric Definition and Monitoring
Time Series Analysis and Forecasting
User Segmentation

Categories