Clément Pecresse

– Architected the bank's Dataiku data science platform from greenfield, owning end to end the technical environment, security model and operational backbone for Corporate and Investment Banking use cases. – Designed and shipped the onboarding tooling and processes that welcomed the first 70 users, defining the standard for platform selfservice across CIB. – Built and hardened the platform against Dataiku and CIB security and robustness requirements (Cgroups, UIF, Cyber-Ark integration), engaging directly with Dataiku and infrastructure stakeholders Defined and rolled out advanced GenAl features (LLM Mesh, RAG, Agentic) – Engineered the Oracle to Dataiku data ingestion layer, exposing every Datamart dataset while enforcing the BNPP authorization matrix. – Led the Alteryx to Dataiku migration: designed and built the in-house migrator, delivered 20 Transactional Banking projects, cutting expected migration time from 3 years to 2 weeks. – Designed an administrative Agentic Al application that executes any platform operation autonomously, freeing the admin team from repetitive support work

– Took part in the SAS to Pyspark traduction pilot using One point solution One Migration. – As Pyspark expert my works consisted in: – Reviewing One Migration first traductions improving the prompting strategy – Finalizing and fixing the different traductions

– Worked on a chatbot made to lookup informations on the internet and create reports to help lawyers in their works. – Also build the demonstrator.

– I was chosen to join the Inetum Data as coding expert, adding my technical skills to the team. – We work on counseling and developping for Inetum's client CMA-CGM. – My job consists in assisting our client people in developping their codes and leveraging the capabilities of their datascience platform, Dataiku. – My expertise revolves on teaching and debugging issues relating to coding (Pyspark, Python, SQL, SQL Spark) or issues revolving around the platform such as Dataiku usages or EKS monitoring through logs from both the platform and monitoring solution such as AWS Cloud watch, Grafana, Rancher or Spark history server. – I also respond to the platform owner's need in developping Administrations tools, perform tests to adopt or reject new features and writing guidelines and best practices. – With CMA-CGM I had the opportunity to discover new cloud actors such as AWS, Dataiku and Snowflake database and to work in a closer fashion with my clients than ever before.

– Worked for Inetum Research in ML for more than year. I had the opportunity to work on several fields such as Cybersecurity, Image processing, signal processing and such. – My expertise ranged from understanding the need of a client to developping algorithms or data science pipelines to answer them. – To perfom this I relied on a dedicated Azure Databricks instance coding mostly with Pyspark and Python and the uses of different cloud platforms such as Azure, GCP (for storage and ML research) and sometimes dedicated autoML companies such as DataRobot.

– Detection of network intrusions using Machine and Deep learning methods