Guillaume Pelletier, Analytics Engineer

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Description

Data enthusiast for about ten years now, I help you make your data actionable in a pragmatic way.

I had the pleasure of creating data pipelines as well as visualization strategies.

I also created AI algorithms (particularly in language processing and time series).

I now help small structures to equip themselves with an efficient data ecosystem.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent
German
Conversational

Workplace preferences

Can work on-site

Paris (up to 50km)

Happypal
Head of Data
February 2024 - Today (2 years and 3 months)
Paris, France
Happypal needed to equip itself with a usable data environment.
My missions included:
Creating a data stack to provide rapid support to business teams
Creating the Data Lake and then a Data Warehouse to allow simple data exploitation
Creating the structure and logic within Metabase
Contributing to the implementation of a team CRM by automating out-app reporting and data catch-up
Metabase DBT Snowflake Dagster Hightouch Census Stitch
Vroomly
Analytics Engineer
February 2022 - February 2024 (2 years)
Paris, France
At Vroomly, I contributed to building a data stack from scratch.
My missions consisted of:
Determining the architecture and data stack
Defining the engineering vision and associated projects
Creating usable layers for Data Ops
Defining the data access management policy
Establishing a GDPR policy
DBT Airflow Docker Snowflake Amazon Web Services Python Github Actions AWS ECS
Numerai
Data Scientist
December 2020 - September 2021 (9 months)
San Francisco, CA, USA
Main missions:
Developing a feature selection algorithm
Designing a cutting-edge algorithm
Achieving top 1% performance

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Computer Science and Applied Mathematics Engineer
ENSIMAG
2014
Master M2MO (Laure Elie)
Paris Diderot
2016