Über Charles
Data engineer / Machine Learning Engineer / Data Scientist :
Hello, voici un récapitulatif des projets de machine learning que j'ai déjà mené à bien
● Data engineering : Databse postgres optimization (mise en place Airflow, dbt, index, partitioning)
● VISION : Detecting defects on airports roadways, production deployment through Dataiku Batch Deployer
● NLP : Build a NER model based on transformer BERT (Huggingface) to identify entities within medical reports (drug names, routes, frequence)
● Timeseries : Forecasting Twitch Audiences for new video games releases
Data engineering skills:
- Languages : Bash, Python, SQL, Spark
- Optimization : Spark, HDFS, Kafka, Pubsub, Beam
- Cloud platforms : GCP, Azure
- Orchestration : Kubernetes (GKE) / Docker compose / Dbt / Zappier / 8n8 / Airflow
- DB management : BigQuery, ClickHouse, Postgres
- Visualisation :Power BI : DAX / M, Power QUERY, RLS/OLS, Looker
Education:
- HEC Paris (Data Analyst and Data Scientist internships)
- Double degree with Ecole Polytechnique (X) - "Data Science for Business"
AI/ML Engineering & Data Science:
- Natural Language Processing (NLP): Text classification, Sentiment analysis, Named Entity Recognition (NER)
- Computer Vision: Object detection, Image segmentation, Facial recognition
- Deployment : Docker compose, Kubernetes
- Dataiku content writer & lecturer in Data Analytics and Machine learning
- Time Series Analysis: ARIMA, Prophet, Seasonal decomposition, Forecasting
- Web scraping: Beautiful Soup, Scrapy
Französisch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher
Deutsch
Verhandlungssicher
Vor Ort möglich
Paris (bis zu 50 km)
Projekt- und Berufserfahrung
- VINCI ConcessionsData engineerIMMOBILIENOktober 2022 - Heute (3 Jahre und 7 Monate)Nanterre, Frankreicha) Optimisation base de données PostGre et migration GCP- Refining PostgreSQL schema, indices, and query performance.- Transfering existing data seamlessly from PostgreSQL to BigQuery.- Mise en palce orchestration (Airflow, dbt)b) Gestion de projet migration technique vers Power BI pour l’équipe de gestion des incidents (QHSE) :- Design de 10 "Lights" Power Bi Reports sur le même Dataset (DAX)- Data sourcée depuis GCP & autres via API PGRest- Mise en production : optimiser la consommation en ressources
- Le WagonData engineerBILDUNG & E-LEARNINGSeptember 2023 - November 2023 (2 Monate)Paris, Frankreich• Data storage and Batch pipelines : Practical understanding of ETL, ELT, and ETLT workflows ; Data warehouse management & pipeline orchestration using DBT + Airflow ; Work with clusters of containers using Kubernetes• Data at scale : Utilizing PySpark for large-scale data transformation operations ; Data streaming with Kafka and Pub/Sub ; Real-time processing of streaming data ; Monitoring tools under high load conditions
- Ubisoft InternationalResearch data scientistUNTERHALTUNG & FREIZEITMärz 2023 - Juli 2023 (4 Monate)Paris, FrankreichPredicting Twitch Audiences for new program releases● Comparing the efficiency of timeseries models (Prophet, ARIMA) with tree-based models, forecast horizon optimization (GCP Vertex)● Building similarity scores for finding similar programs to new releases and build aggregated timeseries● Deployment through real time API on Dataiku
Bewertungen
Alphadio
Lavoir Moderne Holding
Bewertet am 29.3.2022
Travail bien exécuté et force de proposition.
Alphadio
Lavoir Moderne Holding
Bewertet am 23.2.2022
Travail rapide et efficace!
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Ausbildung und Abschlüsse
- Master in Data Science for BusinessPolytechnique Paris (X) & HEC ParisStatistics with R, Machine Learning, Python for Data Science, Regression, Deep Learning
- Master in ManagementHEC ParisData Modelling with spreadsheets (Advanced), Mathematical modeling with Excel, Mergers & Acquisitions, Strategy implementation, Financial markets, Accounting, multiple Strategy courses