“Thomas est dynamique et passionné par le secteur de la publicité digitale dont il fait une veille pointue et pertinente très appréciable. Il a démontré une soif d'entreprendre impressionnante dans toutes ces missions et a témoigné d'une très bonne compréhension des enjeux et des acteurs en présence. Je recommande donc thomas à ceux qui ont des projets ambitieux dans ce domaine et qui pourraient lui offrir un terrain de jeu à l'hauteur de son énergie et de son implication sans limites. ”
Paris, Île-de-France, France
Coordonnées
3 k abonnés
+ de 500 relations
Paris, Île-de-France, France
Coordonnées
3 k abonnés
+ de 500 relations
Contributions
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What are the best data structures for flexible and adaptable data requirements in Data Engineering?
Great points in the article. Consistency in naming and formatting is crucial for clarity in data projects. I've seen how much easier it makes data integration and processing. Also, the focus on modular and reusable structures like classes and functions is a game-changer for efficient data pipelines. And yes, choosing the right data structures, like indexes for performance, really matters, especially with big data. These practices are key for any successful data engineering project.
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What are the best data structures for flexible and adaptable data requirements in Data Engineering?
In my experience with complex data projects, I have found that the key to success often lies in how we organize and manage information. For instance, in projects involving geographical data or social networks, choosing the right method to store and access this data is crucial. This might involve using specialized structures that allow us to clearly visualize the relationships between the data and to process the information efficiently. The idea is to find the simplest and most straightforward way to handle data that might be interconnected or complex, in order to facilitate analysis and decision-making.
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What are the best data structures for flexible and adaptable data requirements in Data Engineering?
Based on my experience, data collection and preparation are fundamental steps in any project related to data science or artificial intelligence. In fact, the data structuring phase often turns out to be the longest and most costly. This step is crucial and cannot be automated or overlooked, as it alone conditions the feasibility and success of the project. In the field of artificial intelligence, if the input data are not properly prepared and exploitable, the project simply cannot come to fruition. Therefore, it is imperative to pay special attention to this preliminary phase, which is the cornerstone of any successful AI project.
Activité
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« Its a UX design revolution » Couldn’t be more agree.
« Its a UX design revolution » Couldn’t be more agree.
Partagé par Thomas Spitz
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Is AI the ultimate weapon of economic domination in the 21st century? I wrote a few months ago about my vision in Follow Tribes, and it still seems…
Is AI the ultimate weapon of economic domination in the 21st century? I wrote a few months ago about my vision in Follow Tribes, and it still seems…
Partagé par Thomas Spitz
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Je passerai sur BFM Business TV demain à 14h53 pour présenter Cosmos, notre plateforme d'applications d'IA Générative, ainsi que notre aventure…
Je passerai sur BFM Business TV demain à 14h53 pour présenter Cosmos, notre plateforme d'applications d'IA Générative, ainsi que notre aventure…
Aimé par Thomas Spitz
Expérience et formation
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Albert School
Voir toute l’expérience de Thomas
Découvrez son poste, son ancienneté et plus encore.
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Licences et certifications
Projets
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Master Thesis: How could Blockchain change our organisations, our money and our economy ?
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Master Thesis: From media planning to audience planning. How would Real Time Bidding affect Ad Targeting ?
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Google Online Marketing Challenge
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My group and I took part to the International Google Onlie Marketing Challenge 2016.
The challenge requires to find a company and drive a SEA campagne for her on Google Adwords with a budget of 250€.
We prospected and decide to work with Lulu Yasmine, an Indonesian Fashion Brand.
The chosen strategy was to drive targeted trafic on the web site.
In 3 weeks we realized:
308 clics, 20013 impressions, 0.81€ CPC and 1.53% of CTR.
Thanks to those performances we've been…My group and I took part to the International Google Onlie Marketing Challenge 2016.
The challenge requires to find a company and drive a SEA campagne for her on Google Adwords with a budget of 250€.
We prospected and decide to work with Lulu Yasmine, an Indonesian Fashion Brand.
The chosen strategy was to drive targeted trafic on the web site.
In 3 weeks we realized:
308 clics, 20013 impressions, 0.81€ CPC and 1.53% of CTR.
Thanks to those performances we've been ranked in "strong" category (3d of 9 totals categories).Other creators -
Prix et distinctions
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Winner of the Blockchain Hackathon by Groupe Casino – 2018 Edition
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Ecole 42 – Project then incubated at Station F
Innovative start-up creation competition about Blockchain that lasted 48h. Two topics proposed: Supply Chain & Customer Loyalty.
Prizewinner selected by a jury composed of Groupe Casino’s top management (COO, Head of Innovation Department, Head of Marketing…) and Blockchain Partners, among around 100 participants working on 20 different projects.
Link of a making-off by one of the teams: https://youtu.be/j0CwpB-QnKg -
Winner Hackathon Réseau-GES 2016
Réseau GES
My groupe, and I took part and win the GES Hakathon 2016.
This challenge regrouped 120 students of the school network - management & web development specialists.
The aim of this Hackathon was to present a proof of concept of a mobile application for Sports.
My team and I, had 4 days to work on:
- develop the App (Android language)
- Competitive Intelligence
- Design and all the characteristics
- Business model & business plan
- Communication Plan (Social Media…My groupe, and I took part and win the GES Hakathon 2016.
This challenge regrouped 120 students of the school network - management & web development specialists.
The aim of this Hackathon was to present a proof of concept of a mobile application for Sports.
My team and I, had 4 days to work on:
- develop the App (Android language)
- Competitive Intelligence
- Design and all the characteristics
- Business model & business plan
- Communication Plan (Social Media, Crowd-funding, Viral Video)
- develop a showcase site web
- Install analytic tracking (Google analytic)
- Imagine a marketplace
Langues
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French
Bilingue ou langue natale
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English
Capacité professionnelle complète
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Indonésien
Notions
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German
Notions
Recommandations reçues
2 personnes ont recommandé Thomas
Inscrivez-vous pour y accéderPlus d’activités de Thomas
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🤔 Is Europe Losing the AI Race? Meta’s decision to withhold its next multimodal AI model from the EU due to regulatory uncertainties raises a…
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Aimé par Thomas Spitz
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