Nicolas Bloyet

• Analysis of scalability challenges on the IP traffic supervision system (Netflow) from a SD-WAN product
  • Leveraging the existing, in-production OLTP system (custom aggregation, time-partitioning)
  • Deep study of alternatives OLAP systems
• Implementation of testing/simulation tools, generation of massive realistic network data
  • Upstreamed contributions to scapy Netflow module
• Architecture and implementation of the alerts/monitoring database of a network management solution (NMS)
• DBMS optimization (Index tailoring, request profiling)
• Automation of embedded database integration pipelines for routers (traffic classification)

Python asyncio Galera Cassandra

Go DuckDB PostgreSQL MariaDB pola.rs scapy Gitlab CI/CD

• Regression, Classification, Forecasting on various industrial topics
  • agronomy
  • logistics
• Natural Language Processing (NLP)
  • topic segmentation
  • sentiment analysis
• Image analysis (Computer Vision, anomaly detection, CNN)
  • production monitoring
  • quality control
• Deployment and industrialization of Data Science projects (MLOps)
• Report writing and project presentation to stakeholders
• Audit of business operations, coordination with IT/Datalabs, writing of specifications
• Writing and conducting pedagogical trainings
  • “Lean 6-sigma black belt” level
  • Qualiopi certified on first session
• Mentored:
  • 4 internships (BsC and MSc level)
  • 3 phd candidates in a summer school program

Python PySpark PyTorch gensim Keras OpenCV

R PostgreSQL SnowFlake Docker Anaconda

• Machine learning applied to structure-activity relationships (QSAR)
• Development of Feature-Learning algorithms for for molecular subgraphs
• Exploration of correlations between topological and macroscopic models
• Contributed to graph isomorphism problem, library published in MIT

Worked on side subjects as Junior Data-Scientist.

Python PySpark PyTorch gensim R Docker