Jean-Bruno - Data Analyst PYTHON

Data scientist, Workplace from Facebook (contractor)

● Performed in-depth analysis on workplace monetisation & engagement utilizing SQL (Hive/Presto)
● Multivariate Time series & modelling on pricing changes (Python & Prophet library)
● Supported the design and the analysis of A/B test experiments.
● Insights & reporting with Tableau for monetisation team.

Associate, Internal Audit, Data analyst

Leveraged python, regex and NLP to generate data quality checks in order to automate manual audit testing.
● Authored data pipelines to extract and reconcile financial risk data with python and SAP Sybase IQ (T-SQL).
Saved 900 hours of auditors work.
● Regular presentation machine learning working group within technology audit team.
● Developed a web application to automate and support audit regulatory reporting (front end development using
javascript, angular, Restful API requests and dash).
● Promoted from analyst to associate 8 months after joining the company.

Developed ETL process using python and MS SQL Server,
● Created multiple reporting dashboards and visualisation using POWER BI.
● Build a fraud detection analytics algorithm using python. Decreased the creation of fake accounts by 23%.

Senior product analyst

Developed predictive machine learning models (logistic regression, random forest, ...) to analyse user behaviour
and to prioritize new features to implement.
● Defined customer segments using clustering algorithms to optimize user journey.
● Run several A/B testing experiments (web pages, marketing campaigns). Resulted in an increase of 3% in
monthly acquisitions.
● Performed in-depth analysis on general business performance utilizing Redshift (PostgreSQL), AWS, python,
Adobe Analytics and Tableau.

Data analyst

Built a PostgreSQL database & automated the reporting process with python & Qlik Sense.
● Defined KPIs and tracked service quality
● Analysed geospatial data (GIS) with Python and QGIS
● AB testing (Marketing campaigns).
● Applied different machine learning with python to:
○ Analyse and improve the customer retention (random forest, decision tree, logistic regression)
resulting in a 10 % increase of bookings conversion rate.
○ Reshape the service design (K-means, DBscan) resulting in a 15 % increase of sales.

Consultant, Deloitte

Tax eAudit - Extraction of transactional data (AP, AR, GL accounts, vendor master data,..) in SAP using
DART and in Oracle (writing PL/SQL queries). SAP FI/CO bootcamp.
● Master data completeness and quality check using IDEA and ACL & Reconciliation to official fillings.
● Tax software development and implementation - Extracting transactions and VAT tables from client
systems (Oracle / SAP). Review of tax codes mapping within SAP. & VAT return automation.
● Data management: SharePoint design, data retention policy, data migration