Florentin DAM

Thanks-Boss

Candidats : 
- vous avez du mal à trouver le bon job ?
- vos critères ne sont pas pris en compte ?
- vous êtes fatigués de renseigner des tonnes de formulaires ou de passer des entretiens sans trouver la perle rare ?

Notre IA développée en interne ressemble à un chatgpt spécialisé dans le recrutement et saura prendre en compte tous vos besoins pour vous décrocher le meilleur job !

Plus d'infos ici : https://www.thanks-boss.com/?utm_source=link&utm_medium=xp&utm_campaign=pre_launch&utm_id=c2

CTO et Fondateur

Targech

Conseil aux entreprises en développement de solutions informatiques et en recrutement de profils tech.

Besoin d'un profil tech ? Vous pouvez me contacter directement pour un échange personnalisé.

TARGECH vous accompagne également dans vos projets de big data, d'intelligence artificielle et développement web.

Président et Fondateur

Break the code

Les technologies que tu utilises chaque jour cachent quelque chose !

Pourquoi Booking te fait attendre après une recherche ?
Comment fait Netflix pour cibler tes goûts ? (épisode 2)
Comment Uber te manipule avec son app ? (épisode 3)
Tu ne t'es jamais posé ces questions pourtant maintenant tu veux les réponses ?

Tu es à l'endroit idéal pour ça !

Bienvenue dans Break the code. La première émission qui regroupe un UX designer et un Data Scientist pour décrypter la technologie.

Dans chaque épisode nous allons te révéler les secrets qui se cachent dans la tech qui l'entoure !

Pour découvrir le podcast c'est par ici 👇

Sur Spotify
https://open.spotify.com/show/7h75PoXf8HtXwptio1a07u

Sur Apple podcast
https://podcasts.apple.com/fr/podcast/break-the-code/id1641920143?l=en

Sur Google podcast
https://podcasts.google.com/feed/aHR0cHM6Ly9icmVha3RoZWNvZGVzaG93LmNvbS9mZWVkL3BvZGNhc3Q

Sur Podcast Addict
https://podcastaddict.com/podcast/4077015

Co-Animateur du podcast

Akka Technologies

● EU-SYSFLEX (since beginning of 2018)
35 companies, H2020 European projects , Smart Grids, Business Analysis, Big Data architecture, Machine Learning, Deep Learning, Web development, DevOps, Negociations, details in the project section , remotly co-supervising a trainee with two other countries, energy consumption prediction from past consumption and weather data, model deployment

● ESA Collision Avoidance Challenge : predict collision between spacecrafts and debris, managing a Doctor in Space and an intern soon 

● Kaggle Production Line Performance 
Managed 2 data scientists in average, Machine Learning, Deep Learning, Big Data, details in the project section

● POC Factory 4.0: Predictive maintenance
Managed 2 Python developers in a team of 10 people, Big Data, Machine Learning, details in the project section

● Computer Vision : For a client, vegetation field boundary extraction using satellite images, Deep Learning, managed 1 data scientist, got support from 2 PhDs Computer Vision Experts, AZURE

● European Project proposal (Shift2Rail)
Anomaly detection in bogies with AI, railway sector, 9 companies (strategy, business and technical negociations, budget, state of the art analysis in AI, Big Data, macro-planning, Work Package Leader for the Machine Learning work package, ...) 

● French Project proposal (ANR)
Polution detection in liquids with Deep Learning and Computer Vision, 4 companies

● Member of a Jury for international projects evaluation

Tools : 
Machine Learning & Deep Learning : Python, Tensorflow, Keras, Google Colaboratory
Big Data : Spark, Hadoop
Data Transformation : Pandas, Numpy
Some algorithms : Random Forest, XGBoost, LSTMs, CNNs, Attention Mechanisms, Seq2Seq, Mask-R-CNN ...

Project Leader / Data Scientist

Main tasks:
- Learn new technologies
- Participation in tenders
- Technical supervising
- Technical and Business Architecture 
- Development : Web, Big Data, Machine Learning
- DevOps : Jenkins, Docker, SonarQube
- Django, Angular, Blockchain, Deep Learning, SmartGrid, ...

3 projects :

● Industry 4.0 (Confidential):
-> Big Data, Machine Learning, Software, POC, Predictive Maintenance, ... 

● EU-SYSFLEX : european project in SmartGrid :
- Blockchain, Big Data, Deep Learning, Architecture, DevOps, Software, Web Development, Business, Negociations, ... 

● Project Leader - POC Machine Learning for anomaly detection with Big Data

More details are available in Projects.

Data Scientist (Full Stack)

Sopra Steria, Cimpa PLM Services (ex-Airbus)

Confidential - Defense project
Client : Naval Group (ex-DCNS)

Job: 
● Software Engineering
● Writting functionnal and technical specifications
● Meetings with the client
● Product Life Management

Technologies:
● Development:  Java, Python, XML, SQL, Spring, Hibernate, HTML, CSS, JavaScript, GWT, JSON, Talend, NoSQL, Neo4j, Design Pattern, Web services
● Test : JUnit, JMeter, Jacoco, Squash, SonarQube
● Environment: Git, Jenkins, Nexus, Maven, MariaDB, MongoDB, MongoDB Compass, Tuleap, Windows, Linux, Tuleap, Rest, ActiveMQ

Big Data & Software Engineer

European Space Agency

● Context : 
- CryoSat-2 Mission : Satellit which measures the ice thickness on Earth
- Development of the Mission Planning System Toolkit
- High flexibility of the tool

● Methodology:
- V Model (Faisibility study, architecture, development, test and validation)
- AGILE - SCRUM
- Presentations in English

● Technical points:
- JAVA, XML, UML, SVN, Linux, Solaris, MobaXterm
- Test (integration et regression)
- User training

● Résultats :
- Rédaction de l'étude de faisabilité, de rapports de tests, d'un guide de développement et d'utilisation
- Outil testé et validé
- Evolution du logiciel par l'équipe

● Formation :
The Ladybird Guide to Spacecraft Training

Software Engineer Trainee

VINCI Energies

During my last internship at Vinci Energies, I was in charge of the project “Connected Construction Sites". The goal was to develop an application for computer and tablet.

I have done the following tasks :
- Redacting specifications
- Risk assessment
- Cost estimation
- Purchase
- VBA programming
- Tests and Validation
- Project management
- Quality, security, environment, Standards ISO 9001, OHSAS 18001 and ISO 14001

Project selected during the Challenge Stage 2015

- Development of a software with VBA
- Ranked 9th out of 50 during the Innovation Challenge 2014

VBA Developer

Developing and improving of a website that centralizes different data and integrates the geolocation of companies.
- First prototype in HTML, CSS and JavaScript
- Improvement in C# and ASP.NET
- Using the SQL Server database
- Contribution to the initialization of SharePoint

Web Developer

Delphi

Affected at different workshops: loading components, drilling, intern rectification and deburring under high pressure.

- Minor repairs of industrial robots
- Statistical Process Control
- Reporting

Operator

Looking for a job in Tech ? 
Discover our own "ChatGPT" for tech recruiting : 

https://www.thanks-boss.com/

Candidats : 
- vous avez du mal à trouver le bon job dans la tech ?
- vos critères ne sont pas pris en compte ?
- vous êtes fatigués de renseigner des tonnes de formulaires ou de passer des entretiens sans trouver la perle rare ?

Notre IA développée en interne ressemble à un chatgpt spécialisé dans le recrutement et saura prendre en compte tous vos besoins pour vous décrocher le meilleur job !

Plus d'infos ici : https://www.thanks-boss.com/?utm_source=link&utm_medium=xp&utm_campaign=pre_launch&utm_id=c2

ENGIE Global Energy Management & Sales

Product Controller
Conducted in-depth market analytics on Gas and LNG flows, leveraging demand forecasting models, weather derivatives, and consumption data to support trading strategies.

Assisted traders and originators in structuring and executing long-term and short-term gas supply agreements, optimizing portfolio hedging strategies.

Ensured alignment between contractual obligations and trading positions by validating contract terms, including indexed pricing formulas, nomination flexibility, and take-or-pay clauses.

Managed the full contract life cycle, overseeing price revisions, settlement adjustments, and reconciliation of gas trading transactions to ensure operational and financial accuracy.

Developed and automated reporting frameworks, streamlining volumetric reconciliation, customs declarations, and balancing operations across European gas transmission networks.

Junior Analyst in LNG/Gas Trading

sanofi us

Strategic Transformation Across Key Dimensions

Supplier-Sanofi Interface Optimization:
Implemented an advanced S&OP (Sales & Operations Planning) framework, enhancing demand forecasting accuracy and synchronizing supplier capacity with production requirements. Integrated real-time data analytics and automated reporting tools to optimize material flow management, reduce lead times, and mitigate stockout risks. Improved EDI (Electronic Data Interchange) protocols for seamless communication between Sanofi and suppliers, ensuring agile response to market fluctuations.

Performance Culture Deployment:
Developed and enforced a site-wide operational excellence framework at the Framingham facility by embedding Lean Six Sigma methodologies and OEE (Overall Equipment Effectiveness) tracking into daily operations. Implemented KPI-based performance dashboards, aligning cross-functional teams on production efficiency, supplier reliability, and cost optimization metrics. Conducted root-cause analysis (RCA) workshops and deployed continuous improvement (Kaizen) initiatives, resulting in measurable efficiency gains and reduced operational variability.

Cost Reduction via Process & Technical Optimization:
Led process reengineering initiatives, leveraging value stream mapping (VSM) to eliminate inefficiencies in material flow and production cycles. Applied Design for Manufacturing (DFM) principles to optimize product configurations, reduce material waste, and enhance process scalability. Deployed predictive analytics models for supplier risk assessment and cost forecasting, driving a data-driven approach to procurement and operational cost control.

Transformation Leader

Sanofi

Supplier Performance & Operational Optimization

Supplier Excellence Diagnostic:
Co-led a root-cause analysis of extended lead times and market shortages, identifying key supply chain inefficiencies and bottlenecks.

Forecasting & Analytics Implementation:
Developed and deployed Power BI-based analytics models to enhance demand forecasting accuracy and optimize inventory planning.

Capacity vs. Demand Alignment: 
Designed and implemented a real-time Power BI interface between Sanofi and packaging material suppliers, enabling dynamic analysis of plant capacity, demand forecasts, and order fulfillment gaps.

Performance Reporting & Financial Analysis:
Generated detailed performance reports, evaluating industrial investments using ROI calculations, risk assessment, and opportunity identification to support strategic decision-making.

S&OP Process Implementation:
Established a structured Sales & Operations Planning (S&OP) framework, improving coordination between procurement, manufacturing, and suppliers to enhance supply chain resilience.

Process Standardization & Supplier Collaboration:
Streamlined supplier engagement by standardizing operational workflows and enhancing cross-functional collaboration between Sanofi’s industrial sites and supplier networks.

Global Industrial Management Controller

Digital Transformation & Production Optimization

Digital Excellence Diagnostic:
Co-led a root-cause analysis on the surge in batch record deviations, identifying systemic inefficiencies and compliance gaps in production workflows.

Manufacturing Execution System (MES) Implementation:
Deployed a Manufacturing Execution System (MES) to enhance real-time production line supervision, ensuring traceability, process standardization, and deviation mitigation.

Performance Reporting & Operational Analytics:
Developed data-driven performance reports, analyzing key manufacturing KPIs such as takt time, deviation frequency, and Overall Equipment Effectiveness (OEE) to drive continuous improvement initiatives.

taplio

The Battle

Florentin DAM

Alexandre RAYNAUD

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