Alexandra Lorenzo

Lead Data Scientist

Salaire / Taux journalier

Lyon, France

Mobilité : Paris

Freelance, ouvert au CDI

Peut venir sur site

Expertises

Machine LearningPythonPyTorchDeep LearningScrapingKerasPower BIGitGitLabJenkinsData AnalysisLLMs / Large language modelsNumPypandasIAAzureData VizualizationETLscikit-learnDjangoOracle DatabaseMongoDBAWSGoogle Cloud PlatformMySQLLookerData ScienceRPostmanLinuxFigma

Langues

Français (Maternelle)Anglais (Courant)Espagnol (Courant)Néerlandais

À propos

Introduction

Lead Data Scientist with 9+ years expertise in NLP, Computer Vision, and Trusted AI across healthcare, aerospace, and finance sectors. Published researcher with patent in ML models, proven track record leading R&D projects and managing data science teams. Specialized in RAG evaluation, generative algorithms, and ethical AI solutions for enterprise clients.

Liens

Expérience de travail

Lead Data Scientist

DiaDeep

févr. 2025 - Présent

1 an 9 mois

Lyon, France

Meetup Organizer

Meetup Paris Data Ladies

juil. 2019 - avr. 2025

5 ans 10 mois

Paris, France

Meetup "Paris Data Ladies" co-organizer The meetup aims at promoting women in AI, in particular data scientists, engineers and architects by organizing technical meetups about AI. 60-100 participants at each meetup. 38 editions so far, every 1month @Le Wagon, Google, BPCE, Deezer La Fourchette ... +4000 members Member of Fille&Maths

Quantmetry

mars 2019 - mars 2025

6 ans 1 mois

Région de Paris, France

Manager Data Scientist

oct. 2021 - mars 2025

3 ans 6 mois

Région de Paris, France

Lead Data Scientist (NLP/CV): - Trusted AI : How to evaluate RAG models ? - Trusted AI, paper at MICCAI [Efficient Precision Control in Object Detection Models for Enhanced and Reliable Ovarian Follicle Counting, V.Blot, A. Lorenzo, I. Sellami, N.Brunel] - Generative Algorithms : Data Augmentation with GANs, Deep Fakes - Accelerate annotation : semi-supervised labellisation, Active Learning - Transformers : Comparison of Transformers with classic CNN - Transparency and Ethical algorithms : global and local intelligibility. Biais algorithms analysis and transparency in models and data (Model Cards and Data Sheets) - AI Documentary: OCR and Multimodal tools benchmark (https://medium.com/capgemini-invent-lab)

Sr Data Scientist Consultant

mars 2019 - mars 2025

6 ans 1 mois

Paris, France

- Health : Lead Tech of an R&D project (1 year and half) on detecting Small fiber neuropathy in biopsy images > Patent submitted on AI Machine Learning models - Aerospatial : Comparison of Deep Learning models with signal processing in Image Registration - Augmented Reality : creating an algorithm to try jewellery in real-time using 2D pictures - 2D Simulation : using GANs create new scenary in a constraint environments - Aerospatial : pre-manufactured building detection using satellite imagery from IGN open source - International Forum Cybersecurity : co-organizer of AI challenges (Year#1: threat detection, Year#2 : Deep Fakes) - Predictive Maintenance : Lead Tech of 2 DS Team-creating multiple algorithms for anomaly detection in aerospatial company - Industry : Geomarketing using machine learning model to improve sales car - HR: forecasting mass salary in energy company - Deep Learning and Computer Vision courses

Adjunct Profesor - Statistics & Machine Learning

Université Paris 1 Panthéon-Sorbonne

mai 2021 - mai 2023

2 ans 1 mois

Paris, France

- Conception & responsible of Machine Learning and Statistics course for the Data Science students of the Statistics and Econometrics Master degree of the University Paris 1 Panthéon-Sorbonne.

Data Scientist Consultant

Business & Decision Belgium

mars 2017 - mars 2019

2 ans 1 mois

Belgium Town, Wisconsin, États-Unis

Fraud Detection, Anomaly Detection, Churn Prediction, SNA, System Recommendation ...

Data Scientist Consultant

Capgemini

oct. 2015 - mars 2017

1 an 6 mois

Région de Madrid, Espagne

Anti-Money Laundering system implementation


Formation

Université Paris 1 Panthéon-Sorbonne

2014 - 2015

2 ans

Activités et associations : Activités et associations :Présidente de l'Association du Master

Paper : Will raising the income of all increase happiness of all? Evidence on the surveys of Russian households

University of Paris I: Panthéon-Sorbonne

Master 2 (M2), Modélisations Statistiques Economiques et Financières (MoSEF)

2014 - 2015

2 ans

Paper : Will raising the income of all increase happiness of all? Evidence on the surveys of Russian households

University of Paris I: Panthéon-Sorbonne

2010 - 2015

6 ans

Activités et associations : Activités et associations :Présidente de l'Association du Master

https://mosefparis1.fr/

University of Paris I: Panthéon-Sorbonne

M1 - Modélisation Statistique Economique et Financière, Master 1

2010 - 2015

6 ans

Résultat : Mention

https://mosefparis1.fr/

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