Iskander C.

Senior Data Scientist

Salaire / Taux journalier

Paris, France

Mobilité : Paris, 92400 Courbevoie, ...

Freelance, ouvert au CDI

Peut venir sur site

Expertises

Machine LearningPythonDeep LearningNLP / Natural Language ProcessingRequêtes SQLCC++pandasscikit-learnData ScienceData EngineeringData VizualizationPyTorchPostgreSQLElasticsearchMetabaseDockerGitAWSOVHcloudNumPyDjango

Langues

Arabe (Maternelle)Français (Maternelle)Anglais (Courant)Espagnol

À propos

Introduction

7+ years building NLP and ML systems from R&D to production. Founded a biomedical search engine indexing 110 millions scientific articles. Experienced in cross-team coordination and team growth.

Liens

Expérience de travail

Founder

Bionoculars

avr. 2025 - Présent

1 an 7 mois

Paris, France

- Search engine for biomedical literature: Engineered a biomedical search engine by leveraging NLP techniques across an aggregation of multiple public datasets (110 million articles from PubMed, OpenAlex and Semantic Scholar) to fundamentally improve the precision and speed of complex bibliographic research. Production - Keywords grouping and normalization: Leveraged a large biomedical thesaurus (UMLS) and semantic embeddings to group and normalize 30 million biomedical keywords for improved search experience and indexing. - Biomedical knowledge graph extraction: Developed a pipeline to extract a knowledge graph from article abstracts, identifying direct and indirect correlations and causal links to improve ranking of both keywords and articles. - AI assistant: Developed an AI agent to help researchers speed up time-consuming tasks and build their bibliography faster. - Non-technical: User research, competitive positioning, company creation and legal requirements, prospect search and interviews, google ads campaign, textual content enrichment.

Senior Data Scientist

Veesion

mai 2024 - mars 2025

11 mois

Paris, France

- Binary model for improved Shoplifting detection: Improved automatic shoplifting detection by adding a binary model to the output of a deep learning gesture detection model, increasing precision by 10%. - Inference machines pool optimization analysis: Set-up the analysis pipeline for inference machines sizing by benchmarking and modeling current pool, identifying a minimal 20% cost gain for future setups. - Analytics for fundraising: Conducted advanced analytics to help in the decision-making and data valorization for the fundraising process. - Statistical validation of privacy in theft detection: Developed a probabilistic model to quantify re-identification risks in a theft detection system, validating that tracking probabilities are negligible for GDPR audits.

Botify

janv. 2019 - juil. 2023

4 ans 7 mois

Paris, France

Senior Data Scientist

janv. 2022 - juil. 2023

1 an 7 mois

Paris, France

- Defined and prototyped linking graph optimization pipeline for website discovery by crawlers - Explored suggestions combination for webpage performance optimization using statistics and ML - New team members onboarding and trainee supervision

Data Scientist

févr. 2020 - janv. 2022

2 ans

Paris, France

- Led the design and development of a MLOps Framework for streamlining the integration of data science projects into production - Defined and prototyped a scalable web page semantics extraction using Transformers and ONNX - Defined and prototyped a webpage categorization pipeline for SEO analysis using semi-supervised learning - Explored the use of Graph Neural Networks to extract website graph features and represent web pages - Scaled and improved WebPage performance optimization suggestion pipeline

Junior Data Scientist

janv. 2019 - janv. 2020

1 an 1 mois

7620 Paris, Danemark

- Prototyped and productionised a search keywords grouping algorithm - Participated in the prototyping of a WebPage performance optimization suggestion pipeline powered by ML - Explored and tested methods to apply Machine Learning to SEO data

Machine learning research, intern

bioMérieux

févr. 2018 - août 2018

7 mois

69280 Marcy-l'Étoile, France

- Implemented the A3C Reinforcement Learning algorithm in a Multi agent framework - Optimized the algorithm for the early classification of time series - Tested it on both public and private data

Innovative product development, intern

A-Volute

mai 2017 - août 2017

4 mois

Lille Area, France

- Explored, defined and developed a software product to tackle a new market


Formation

Centrale Lille

MSc in Engineering , General Studies

2015 - 2018

3 ans 1 mois

ENSI - Ecole Nationale des Sciences de l'Informatique

MSc in Computer Science, Artificial Intelligence

2014 - 2018

4 ans 1 mois

Activités et associations : Member of : Club musique Club O.S.S.E.C Club C.S.I

Preparatory Institute For Engineering Studies Tunis-El Manar

Math and Physics

2012 - 2014

2 ans 1 mois

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