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Pricing & Data Valorization

Mobility & logistics – Pricing & machine learning

Data audit, XGBoost models, what-if simulations and decision-support dashboards.

From data to decision

Explainable XGBoost models and what-if simulations, in a 5-week assignment

Project Details

Client

Driiveme

Sector

Mobility & logistics – Pricing & machine learning

Year

2023

Key Technologies
XGBoostMLflowSHAPDatabricks

Mission

Lead Senior Data Scientist - Pricing & Machine Learning

Pricing & data valorization

Short assignment (5 weeks), Paris, France (hybrid).

Audit and scoping of business needs, in-depth exploration of databases (Databricks, SQL). Cleaning, handling of missing values/outliers, productionization of preprocessing scripts. Domain-specific feature engineering and analytical base preparation. Implementation of predictive models (XGBoost), optimization and tracking with MLflow (tracking, versioning). Model explainability via SHAP for business transparency. What-if simulations and generation of interactive dashboards to support decision-making.

Contexte & Environnement

Mobility/logistics, multi-source and evolving data requiring rapid analyses.

Team

Lead Senior Data Scientist - Pricing & Machine Learning

Environment

Hybrid, Paris – Databricks, SQL, MLflow, Streamlit and PowerBI/Tableau dashboards

Objectifs Cles

1Make data reliable.
2Accelerate analytical use.
3Produce operational insights.
4Support decision-making.

Technologies & Infrastructure

PythonPandasscikit-learnXGBoostSHAPSQLDatabricksMLflowStreamlitPowerBITableau

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