Claire Pinson

• Craft and edit parsing scripts using Python to extract, transform, and load data efficiently (Python, Datadog, PostgreSQL, Docker, Git). • Build dashboards to show customer's use of the application and improve their experience (Metabase, SQL) • Utilized no-code connectors like Make to develop pipelines for operational tasks for non-sensitive data. • For handling sensitive data: Implemented CI/CD pipelines to develop custom connectors using Python, APIs, and PostgreSQL, ensuring streamlined development and deployment processes.

- Setting and running agile processes for tools development and maintenance - Analysing and ensuring high data quality through regular quality checks and data quality sprints - Consulting for different customers on digital development and improvement projects (including understanding, challenging and translating customer needs into clear user stories) - Consolidating data and providing specific deliverables (KPIs, Dashboards, Reports, Studies, etc.) - Establish a connection between the central Data Analytics team and GBS Activities - Review of Business Processes - Ensuring Data Security, Governance and Data Protection requirements in the frame of GDPR regulations - Stakeholder management - Data analysis, design, and visualisation techniques

Construction of a bot powered by langchain and Open AI's API to answer specific regulation questions on a website previously scrapped. Construction of an API: document conformity checker, according to various criteria. This system effectively identified whether each document served as a valid proof of address thanks to ML and Open AI’s API. Technologies: LLMs, Langchain, ChromaDB, Fly, Python, Docker, OpenAI

Follow-up of studies and works on the Arboretum project "Wooden Eco Campus" with 126,000 m2 of office space. Amount of the HVAC-D works: 30M€. - Consultation of material, designation of suppliers, follow-up of the execution schedule. - Realization of the technical studies. - Participation in the self-control of the installations and follow-up of the building site teams.

Job of data analyst, extraction and analysis of data using python tools. Daily reporting to the research team. - Creation of python models to highlight recurring behavior - Highlight the frequency spectrum (Fourier transform) -Technologies: python, Scikit-Learn, pandas, scipy, matlab.