Gaël Didier

BCA Expertise is the French leader in automotive expertise with over 1500 employees and performs more than one million expert assessments.

I joined the Institute of Statistical Studies to participate in the development of the data engineering part.

The team consisted of, in addition to its director, a statistician, a database specialist, and a reporting manager.

My responsibilities:

• Strategy & Modeling: Translating complex business needs into models and algorithms

• Generative AI: Design and prototyping of a Chatbot using LLM architectures

• Data Engineering: Automation of pipelines and exploratory data analysis

• Software Engineering & Quality: Application of Clean Code (modularity, reusable functions), versioning (Git), and optimization of inference times, production monitoring, bias auditing, technical documentation

• Management & Communication: Presenting results to decision-makers, supporting junior profiles.

My notable contributions:

• Intelligent email sorting: Automation of routing for 6 million emails/year, optimizing case management time

• Damaged vehicle repair tool (awarded at the Trophées de l'Argus): Development of a digital decision support solution used over 530,000 times

• Accidentality analysis: Statistical study on two-wheelers and recommendations for road safety.

Technical context: R (Tidymodels, caret, xgboost, e1071, FactoMineR, bnlearn, ompr…), Python (manipulation and modeling: Pandas, NumPy, Scikit-learn, SHAP…); ChatGPT, Gemini (Prompt Engineering techniques); RStudio, Spyder, Jupyter Notebooks, Git; Agile (management of critical flows and priorities P0); Modular design

The Winter & Associés group (whose expertise was integrated by Optimind, then Accenture) was an actuarial consulting firm, serving insurers and companies.

The team consisted of actuaries.

My responsibilities:

• Actuarial and data science studies: stochastic modeling (Mack), valuation of complex financial liabilities (life annuities, funeral expenses) and predictive analysis for health/provident insurance pricing

• Pricing expertise: exploitation of statistical models for defining tailor-made price structures

• Software engineering: automation of management workflows and creation of data quality control tools (Data Quality)

• Communication: presentation of results and strategic recommendations to decision-makers.

Remarkable contributions:

• Batch Automation: Development of an application for managing Provident and Collective Health contracts with complete automation of batch processing and management tasks

• Claims Provisioning: Formalization of the provision calculation algorithm, MACK, ensuring better accuracy of financial commitments

• Strategic Support: Translation of technical analyses into proposals for supporting sales teams.

Technical environment: Access, VBA, Excel, QlikView, R

Senior Data Scientist, Actuary, Data Science Engineer, Software Engineer, Data Science and Statistics Analyst, Data Analyst, DATA Expert, Data Scientist, Freelance, free-lance, independent

GfK is a market research company, among the world leaders, now with over 13,000 employees.

I joined the Information Processing department to perform statistical analysis of market research studies, within a team of 5 statistical technicians.

My responsibilities:

• Statistical Expertise: Conducting multidimensional analyses and classifications to segment consumer profiles

• Database Management: Structuring survey data and maintaining interoperability between different processing tools

• Methodological Consulting: Providing technical expertise to study managers for choosing statistical methods and verifying the consistency of results

• Technical Coordination: Monitoring data processing steps, from collection to delivery of results.

Notable contributions:

• Streamlining Flows: Implementing consistency check processes on survey data to ensure deliverable quality

• Technical Standardization: Optimizing workflows to harmonize processing methods within the department

• Technical Support: Responding to clients' business issues by applying suitable statistical solutions.

Technical environment: SPSS, SPAD, Amos, Excel, VBA, Quantum