Florentin DAM

Thanks-Boss

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- vous avez du mal à trouver le bon job ?
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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

Inria

PHD Student - Theoretical & Deep Reinforcement Learning 

WhiteShip

Founding Engineer

Deep Reinforcement Learning for Stochastic Environments

Research Engineer - Theoretical & Deep Reinforcement Learning 

Research Intern

Lunatech 

3 months internship where I will work on projects related to the Scala Center.

Scala Open-source Developer

Eirb'IA

Co-fondateur et Président du club d'Intelligence Artificielle de L'ENSEIRB-MATMECA

Wellputt USA

Development of an Android application for the sale of products and for learning golf.

Lead Kotlin Developer

LIPN

Implementation of a bio-inspired and clustering algorithm (Ant-Tree) in Scala to integrate it into the Clustering4Ever library. Use of data visualization libraries and Apache Spark to write Machine Learning notebooks. Creation of an SBT plugin for the Scala Retro library (automation of the creation of UML diagrams from sources)

Scala Developer

CNRS

Development of new functionalities for L-SAT, a web platform for collaborative analysis and exploration of satellite data. Minor changes to existing data analysis codes (written in Python and/or Matlab/Octave

Sofware Engineer 

My name is Waris Radji, I’m 22 years old, and I have a technical degree in Computer Science from Université Sorbonne Paris Nord. 

I'm currently at ENSEIRB-MATMECA – Bordeaux INP (Bordeaux Graduate School in Electronics,	Computer	 Science, Telecommunications,	 Mathematics	and	Mechanics) to get my engineering degree.

Skilled in Scala programming and Data Science, looking for opportunities that will allow me to develop my skills. Coming with the ability to develop efficient software and also to help scientists and engineers perform operations when assigned.

I have been working at Laboratoire Scientifique de Paris Nord as a Scala Developer to implement an unsupervised learning bio-algorithm in the Clustering4Ever library. I’m also a high-level Street Lifting athlete in the Fundamental Strength Project (FSP) team. My goal is to become a PhD in Machine Learning.

taplio

The Battle

Florentin DAM

Waris Radji

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