Data analyst/scientist with a strong mathematical and computing background and 10+ years of experience. I believe my previous experiences and personal qualities — reliable, highly motivated and hard-working — give me the abilities to fit the job requirements.
Work summary
Click a company to see the role details.
Company
Position
Dates
Senior Data Analyst
Jun 2024 – Ongoing
Data Innovation Specialist
Apr 2022 – May 2024
Data Analyst
Oct 2020 – Sep 2021
Data Scientist
Apr 2018 – Oct 2020
Statistician
Sep 2016 – Jan 2018
Statistician
Sep 2015 – Aug 2016
Statistician
Jul 2014 – Aug 2015
Statistician (work-linked training)
Mar 2012 – Jun 2014
Education & certifications
2024Machine Learning for Finance in Python — DataCamp
2024Basel Bank Capital Adequacy (Basel II, III & IV) — Udemy
2023Mate to Manager — Australian Institute of Management
2021Google Cloud Platform for Enterprise Essentials — LinkedIn
2021Certified Data Scientist — Databricks
2014Master, Genetic and Genomic Statistics — University Paris-Sud
2012UPDBachelor, Statistics and Business Intelligence — University of Paris Descartes
Skills
Computing
Cloud & platforms
AWSGCPSnowflakeDatabricksHeroku
BI
Power BITableau
Languages
Python / PySparkSQLRSAS
Libraries
SeabornMatplotlibPlotlyMLlibscikit-learn
Tooling
ConfluenceJIRABitbucketGit
Statistics & machine learning
Inference
Hypothesis tests
Data mining
PCAFAC
Regression
SurvivalLinearLogisticLassoRidge
Classification
Decision treesSVMBoostingRandom forest
Clustering
HACK-means
Personal projects & interests
CapitalRoot New
An AI-powered platform that helps investors find their next property by turning market data into clear, data-driven recommendations.
AI scoring model that ranks suburbs by investment potential.
Geospatial analysis of location, amenities and infrastructure.
Forecasting of property price movements.
Trading robot
A trading robot written in Python that runs automated strategies using technical analysis.
Python package deployed on PythonAnywhere.
Dashboard built with Streamlit and deployed on Heroku.
Hobbies & interests
Sport — fitness, jogging, boxing, soccer…
Extensive travels across the world (Europe, America, Asia…) to discover new cultures.
Investing in stocks.
Senior Data Analyst Westpac
Develop key analytical data assets, including dashboards and insights tools, to share with the wider Brand & Marketing team for self-service data insights.
Conduct analysis on internal and external WBG data, and effectively communicate these insights to inform decision making for senior stakeholders within the CBMO leadership team.
Conduct regular evaluations of marketing processes to identify efficiencies and recommend best practices to optimise system functionality and behaviour, with the ultimate goal of improving marketing outcomes.
Effectively manage risk by adhering to team risk controls and WBG risk mitigation policies.
Data Innovation Specialist JCDecaux
Responsible for the successful ideation, deployment and architecture of innovative data solutions.
Worked closely with Marketing, Sales and Insight teams to best meet their needs.
Extracted, manipulated and analysed data using SQL and Python from a large range of data stored on AWS and Salesforce.
Created dashboards (Tableau, Power BI, Python web app) and used machine learning techniques (forecasting, clustering…) to find valuable insights.
Continuously optimised and improved processes that allow Data and Technology teams to work efficiently.
Trained and mentored new employees.
Example projects
Development of a Multi-Objective Optimisation (MOO) algorithm to automate the generation of asset lists for campaign advertisements.
Creation of a segmentation tool employing clustering algorithms to characterise the demographics within proximity of JCDecaux's inventory.
Design and implementation of a forecasting algorithm aimed at predicting audience engagement within proximity of JCDecaux's inventory.
Data Analyst Sanofi
Analysed with precision the needs of the investigators and the objectives of the studies to be carried out.
Extracted, manipulated and analysed data from real-life databases using the Spark framework via Python (RWE data, 100M+ patients).
Proposed and implemented suitable statistical methods (hypothesis tests, regressions, data mining…).
Presented the results and interacted directly with the investigators (Power BI, PPT).
Participated in the development of good programming and quality control practices.
Data Scientist Quinten
Worked closely with US clients (weekly meetings) to best meet their purpose and needs.
Analysed with precision the needs of the customers and the objectives of the studies to be carried out.
Set up a project approach with a precise schedule to be respected.
Extracted, manipulated and analysed data from real-life databases using the Spark framework via Python (RWE data, 100M+ patients).
Proposed and implemented suitable statistical methods of different levels of complexity (regressions, classification, clustering…).
Deployed projects on AWS.
Presented the results and interacted directly with the customer (PPT).
Participated in the development of good programming and quality control practices.
Trained new employees.
Example projects
Refining the benefit/risk ratio of a treatment using a subgroup discovery algorithm and clinical data.
Developing an algorithm for earlier detection of a disease and better understanding the drivers of symptom onset using classification and prediction algorithms such as logistic regression, LGBM and RNN.
Contractor Statistician Aixial / Sanofi
Within the HEOR department of Sanofi, my mission as a contractor was to:
Analyse with precision the needs of the Project Leader.
Extract patients from a US claims database (100M+ patients), clean and prepare the data to perform the analysis (SAS, R and SQL).
Propose and implement suitable statistical methods (hypothesis tests, regressions…).
Work mostly on marketing and cost analyses using regression and data mining techniques.
Present the results to the team (PPT).
Help develop new programs to automate analyses.
I was in charge of my projects and responsible for the presentation of the results to the team.
Statistician Keyrus Biopharma
Analysed with precision the needs of the customers and the objectives of the studies to be carried out.
Proposed and implemented suitable statistical methods (mainly survival analysis using Kaplan-Meier and Cox).
Programmed analyses in SAS and SQL (datasets, tables, listings, statistics).
Developed new programs to automate the analyses and interpret the results.
Wrote the statistical reports.
Statistician CEN Nutriment
Analysed with precision the needs of the customers and the objectives of the studies to be carried out.
Set up a project approach with a precise schedule to be respected.
Proposed and implemented suitable statistical methods (ANOVA, regression and data mining).
Programmed analyses in SAS, R and SQL (datasets, tables, listings, statistics).
Presented the results and interacted directly with the customers.
Developed new programs to automate analysis.
Wrote the statistical reports.
Worked on observational and clinical studies of phase 2 and 3 (drugs, cosmetics, medical devices…).
Statistician (work-linked training) INSERM
Cleaned and analysed data on various observational studies in SAS and R in oncology, antibiotic resistance and genetics (big data).
Statistical methods: survival analysis (Kaplan-Meier and Cox), logistic regression and data mining (PCA, K-means).
Machine Learning for Finance in Python — DataCamp
Basel Bank Capital Adequacy (Basel II, III & IV) — Udemy
Mate to Manager — Australian Institute of Management
Google Cloud Platform for Enterprise Essentials — LinkedIn
Certified Data Scientist — Databricks
Master, Genetic and Genomic Statistics — University Paris-Sud