A dedicated data expert with a passion for uncovering insights and driving business growth. As a certified Google Cloud Professional Data Engineer and Terraform Associate, I have over 6 years of experience in data engineering, data analysis, and machine learning on GCP designing and building end-to-end solutions.
As a detail-oriented and reliable professional, I consistently strive to exceed client expectations by delivering high-quality, data-driven solutions within deadlines. My analytical mindset and strong problem-solving skills enable me to tackle complex data challenges and turn them into actionable insights.
Assessing clients' data needs and infrastructure to identify gaps, opportunities, and areas for improvement.
Designing and implementing scalable and efficient data pipelines, ETL processes, and data warehousing solutions to facilitate seamless data integration and management.
Collaborating with cross-functional teams and stakeholders to ensure data-driven solutions align with business objectives and requirements.
Providing expert guidance and recommendations on data best practices, tools, and technologies to enhance clients' data capabilities and drive continuous improvement.
Data architect / Expert Leader managing DataLab team
Natixis Investment Managers
August 2020
to March 2023
Full-time
Paris
France
Design and Implementation of a new hybrid architecture (private cloud and GCP) to better meet the infrastructure and agility needs of Natixis IM.
Implementation of the CI/CD chain on the cloud using the group's tools (XLDeploy, XLRelease, Jenkins and Terraform).
Centralization of data and optimization of costs related to current and future Natixis IM contracts by designing and implementing a Central Data Repository (CDR).
Standardization of Tableau Server as a business intelligence (BI) solution within Natixis IM.
Definition of internal processes for the industrialization of use cases.
Integration of Informatica cloud within Natixis IM for :
Automate structured data retrieval.
Control the risks associated with malfunctioning pipelines.
Control data quality with Informatica Cloud Data Quality (ICDQ) and make the analysis available in Salesforce as well as the creation of different alert systems for the monitoring.
Lead and contribute to the design and development of cloud-based data systems.
Assist the business in its data transformation and carry their projects.
Assist Natixis IM production support teams to adopt the best practices and train them on cloud (GCP) and data technologies.
Manage and optimize cloud-based systems used for existing projects.
Provide cloud data systems expertise for proposals and other business development efforts.
Data scientist / Analyst / Data engineering on GCP
Natixis investment managers
September 2018
to August 2020
Design and development of :
A Tag system in collaboration with the marketing and sales teams to be able to track the interests of our customers in Salesforce.
Based on client’s interactions (both sales & digital), calculate client engagement scores to generate new leads by identifying those who are willing to react the most to our actions and prevent churn.
A search engine based on the scoring of Natixis IM clients to better segment them, target them and meet their needs.
Alerting system for Natixis IM sales staff to monitor movements in the performance of internal funds compared to competitors in order to anticipate any movements of Natixis IM clients.
Pipelines for retrieving, processing and storing market data from Morningstar, Mercer and S&P into our Datalake.
Sentiment scoring of articles about the asset management industry to detect bad news related to our competitors and our customers.
A module to project the performance of competitors' funds over the coming month in order to detect funds in difficulty.
Complex correlations study between market data and customer behavior in asset management
Managed interns, working on topics such as Asset Flow prediction, NLP Automation for Competitor Annual Reports ESG reports
Organised Data Challenges in collaboration with other DataLab teams at Natixis SA.
Data scientist.
Natixis
September 2017
to August 2018
Cooperative Education Work
Paris
France
Applying data science Framework :
Identification of useful data,
Data preparation, cleaning and management,
Identification/implementation of the most fitted machine learning algorithms,
Benchmark models,
Validation of models based on business metrics and industrialization.
For the following use cases :
Customers risk scoring for credit granting.
Prediction of repayments incidents for leasing contracts.
Detection of weak signals: predict Moody's, Standard and Poor's and Fitch Rating changes for corporates based on news.