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Work Experience
Senior Software Engineer
Saatchi & Saatchi• April 2023 - Present
Sharing Actionable Insights with Major Automotive and Healthcare Accounts in the Canadian Market. ☉ Played a key role in driving a 10% growth in low-funnel conversions for the #1 account in 2023 vs. 2022 ☉ Supporting migration from GA360 to GA4 ☉ Delivering actionable insights to key automotive and healthcare accounts, providing valuable advice on website content and layout through dashboards on Looker Studio ☉ Leveraging customer data warehouses within BigQuery to answer ad-hoc queries, troubleshoot web issues and detect specific patterns. Converts event-based data into session-scoped data as needed. Recently rebuilt a UA data gap (Jan 2024) for client using Google Analytics API. ☉ Leveraging APIs from leading Social and Digital advertising platforms to build data pipelines for automation and reporting ☉ Implementing specific tracking plans through GTM and ensuring website compliance in view of new 1st and 3rd-party cookie requirements, using OneTrust tag manager template.
Software Engineer
Castafiore• June 2021 - March 2023
Profitability Objectives Exceeded with a 900% ROAS Achieved in 6 Months ☉ Achieved a 900% boost in global ROAS within 6 months, showcasing the impact of precise data tracking and strategic website tagging. ☉ Automated product items imports from third-party suppliers.
Software Engineer
Groupe SII• February 2021 - June 2021
Development of a Collaborative Navigation App based on Aircraft ADS-B Data ☉ Unsupervised clustering of approach trajectories (Toulouse Airport) based on a training dataset of more than 1000 samples ☉ Benchmark done on the following clustering techniques : density-based and hierarchical-based ☉ Benchmark done on the following distance computation techniques : frechet distance - haussdorf distance - area between curves ☉ Prediction of A/C trajectories heading to Toulouse on purpose of : operations optimisation - time savings - fuel savings
Software Engineer
ALTEN SO• August 2016 - August 2019
Detection of Degradation Patterns in Flight Data (Airbus A350/A380) ☉ Development of predictive and diagnosis algorithms dedicated to A/C subsystems on purpose of : direct customer support, reduction of airlines operational interruptions and improvement of subsystems maturity ☉ Visual rendering of analysis outcome to project stakeholders ☉ Application of neural network algorithm on timeseries recorded on A350 air conditioning system to compare the following : predicted and failure-case temperature/pressure variables Integrated Project ☉ Massive processing of Flight Radar 24 dataset with Python Spark to get conclusions about worldwide fleet behavior around runways stop bars on purpose of : feeding an onboard S/W dedicated to airport traffic
Education
ISAE - Ensica
Computer Science & Engineering, M.Tech• August 2013 - August 2016