About Claire
Claire Pinson - Your Data Analyst Expert
- Dashboarding: Metabase but also Power BI, Tableau, Looker Studio, Grafana
- **Proficient programming languages**: Python, SQL
- Data Storage:Postgres, AWS S3, Redis, Google Cloud Storage
- Structuring, Pipeline:Docker, Make, CI/CD, Airflow
French
Native or bilingual
English
Fluent
Experience
- Continuity SASData AnalystBANKING AND INSURANCEJuly 2023 - July 2024 (1 year)Paris, FranceContext:Continuity is an insurtech offering a SaaS that allows insurance companies to upload their portfolio of addresses/companies to be insured, and the software identifies all risks present in their portfolio.Continuity approached me with a specific need: to monitor user actions on their platform.Metabase Expert / Data Analyst:
- Creation of Metabase dashboards to reflect the customer experience on the app (from logs) + adapt dashboards according to the needs/requests of clients and the Ops team.
- Data cleaning and formatting to create Qliksense dashboards for a representation of the data Continuity provides to its clients.
Data Engineering Work:- Building CI/CD data pipelines to develop custom connectors using Python, APIs, GitLab jobs, and PostgreSQL, ensuring automatic daily export of client logs from the app.
- Creation and editing of log parsing scripts to extract only relevant data and make it available onMetabase.
- Use of no-code connectors like Make to develop pipelines for operational tasks concerning non-sensitive data.
Technologies Used:- Metabase and QuickSight for dashboards
- Amazon S3 for log storage
- PostgreSQL database
- Python and SQL for data parsing scripts
- Datadog for log retrieval and alerts
- ZahardData EngineerCONSULTING AND AUDITSSeptember 2022 - April 2023 (7 months)Paris, FranceBuilding a bot powered by langchain and the OpenAI API to answer specific regulatory questions on a previously scraped website.
- Building an API: document compliance checker, according to various criteria.
- Technologies: LLMs, Langchain, ChromaDB, Steamship, Fly, Python, Docker, OpenAI
CreatingMetabasedashboards to track user experience on their SaaS. - CNRSData AnalystRESEARCHFebruary 2020 - April 2020 (3 months)Rennes, France
- Extraction, cleaning, and formatting of data. The data was the water level of a river at different points over several kilometers and over several years.
- Use of SQL and Python to apply Fourier transforms and format the data, highlighting several periodic events.
- Use of QlikSense and PowerBI to show results to the research team.
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Education
- EngineerIMT Atlantique2023Top 5 école d'ingénieur française, formation d'ingénieur généraliste
Certifications
- Using Python to access web dataCoursera/University of Michigan2023
- Mathematics for Machine Learning: Linear AlgebraCoursera/Imperial College London2023