Luis BLANCHE

Machine Learning Engineer

Salary / Daily rate

Paris, France

Freelance

Remote only

Skills

PythonData ScienceMachine LearningAIDeep LearningData EngineeringScrapingMongoDBData VisualizationLookerData MiningBig DataDockerGoogle Cloud PlatformSQL QueriesLLMs / Large language modelsAWSSQL databasesData Analysis

Languages

EnglishFrenchSpanish

About me

Intro

I have been working with Python for about 10 years, gaining experience in various settings, from state organizations to small startups. I can fit into all kinds of teams. I have a proven record of bringing machine learning projects to production. I can work on all types of data but my expertise lies in time series, geospatial data and natural language processing (generative AI)

Links

Work experience

Senior Data Scientist / Machine Learning Engineer

Freelance

Jun 2023 - Present

3 years 5 months

Remote

Current Missions - LLM applications to E-Commerce at Mirakl - Data Science Advisor for Maki People

Developer and responsible for partnerships (open source)

CodeCarbon

Jan 2024 - Present

2 years 10 months

Remote, OR 97458, USA

Volunteer for the development of CodeCarbon, I am also responsible for handling our partnerships

Travel

Career Break

Dec 2022 - Jul 2023

8 months

Central, SC 29630, USA

Backpacking accross central america

Lead Data Scientist

Dataswati

Jan 2021 - Nov 2022

1 year 11 months

Working on AI developments for PowerOP, DataSwati's homemade software. Our goal is to help optimize food processing industries to diminish waste and enable better control over the processes using data and explainable AI.

Quantmetry

Nov 2017 - Jan 2021

3 years 3 months

Paris Area, France

Senior Data Scientist / Machine Learning Engineer

Jan 2020 - Jan 2021

1 year 1 month

Paris Area, France

Consulting for big french companies Machine Learning and Data Engineering Geospatial Data specialist Active member of the AI Product R&D department Missions : - Insurance: architecture scoping of an e-mail and electronic management system from a monolith to a choreographed microservices architecture - Public sector: scraping of thousands of public documents and training of a Named Entity Recognition Model - Insurance: machine learning engineering and code support for a Datalab with multiple use-cases - Automotive: connected vehicle lead data scientist on multiple mobility projects - Telecom: fiber optics optimisation (graphs) - Industry: pattern detection on time-series - Web: topic modelling and vectorisation of medical articles

Data Scientist

Jul 2018 - Jan 2020

1 year 7 months

Paris, France

Skills: Creative Problem Solving · Git · Communication

Junior Data Scientist

Nov 2017 - Jul 2018

9 months

Paris Area, France

Skills: Creative Problem Solving · Git · Communication

Machine Learning Engineering Instructor

Yotta Academy

Mar 2020 - Jul 2020

5 months

Paris, France

Responsible for de DevOps/MLOps module

Simulation and modeling project manager

Direction Generale de l'Aviation Civile

Feb 2014 - Nov 2017

3 years 10 months

Région de Paris, France

Airport capacity assessment involving modeling and simulation tools such as CAST aircraft or CAST Terminal and data analysis -Impacts of the implementation of a perimeter taxiway at Paris CDG -Security checkpoint micro-simulation -Statistical analysis of runway lateral deviations -Creation and management of a ground trajectories database - Runway occupancy time analysis for Paris Orly single runway operations

Intern

Ifsttar

Nov 2013 - Jan 2014

3 months

Région de Paris, France

Bike-sharing systems data analysis : comparison of the cases of Paris and London. This project objective was to confront socio-economic and bicycle-sharing schemes data using statistical regressions in order to see what drives the demand for bikes in the two cities. The question beyond this was to know if it was possible to build a model to estimate the demand for bike-share in a new city in order to design new bike-share schemes. It appeared that, although some drivers for the demand were common to both London and Paris, the full picture of what creates the demand in a given city is as expected highly correlated to its socio-economic characteristic.


Education

Imperial College London

Master of Science (MS), Transport

2012 - 2014

2 years

Grade: Merit

Attended courses : Transport and its environment Quantitative Methods Transport Engineering & Operations Transport Demand and its Modelling Transport Economics Transport Policy Quantitative Techniques For Transport Engineering And Planning Advanced Transport Modelling Intelligent Transport Systems Ports and Maritime Transport

Ecole nationale des Travaux publics de l'Etat

Diplôme d'ingénieur, Ingénierie des transports

2010 - 2014

4 years

Civil engineering Project planning Transportation

Lycée Thiers

Classes Preparatoires aux Grandes Ecoles, Mathematics and Physics

2008 - 2011

3 years


Licenses & certifications

Spécialisation Advanced Machine Learning with TensorFlow on Google Cloud Platform

Issued: Aug 2020

Certified by Coursera Course Certificates

Data Engineering on Google Cloud Platform

Issued: Dec 2018

Certified by Coursera Course Certificates

The best place to find your next move

© 2026. All Rights Reserved.