Datagoto is a GenAI agency: your partner to free business team's productivity with automation.We build tailor-made GenAI solutions. Our work cover 2 major steps where we guide you to win 2-digits productivity:1) Strategy and business process mapping. A set of interviews and workshops to better understand your work and daily processes. How and where we could find quick or high value wins for your organisation.Output is a set of recommandations.2) Technical conception. Once the process mapping has been done and projects have been prioritised. We concretise the work. From conception, ideal screens, features, validating a POC to an MVP ready for production.Change management: We guide you and the teams doing regular communications on the project to ensure the good success of it. It is essential that the human factor is taken into consideration.We supercharge your teams and boost human productivity with the right tools, we don't replace them.Our conviction is to build smart and simple products, we don't do overengineering. We are ROI-focused and aim for impact.Building solutions used by the teams, we are the data-go-to people, your partner for mastering GenAI.

Engineer, I have a passion for data and the development of tech products that help to accelerate businesses.As a digital strategy consultant, I have developed knowledge in e-commerce, marketing and operations.The arrival of LLMs has changed the way we work, and I firmly believe in humans augmented by AI. This is why I want to offer you the opportunity to study and implement the construction of generative AI products to help and boost your teams.This can range from helping to fill in product sheets, knowledge management search bots, authorised scraping to populate databases, generation of SQL queries with natural language or any other automation of business processes. Also called AI agents.I offer you missions in 3 independent stages.1/ A first phase of framing the use cases and needs expressed to identify the type of product to be built and how to integrate it into your technical universe.2/ The construction of this product. I would deliver a technically independent product based on a mix of no-code tools using Python as the main language and Javascript for the front. The product would be complete (back-end, front-end and db) and ready to use.With the delivery of associated documentation.3/ Training on the tool and change management to disseminate / communicate on it internally. How to use the tool and foster its adoption.I have a good knowledge of product strategy and business consulting. I was a full-stack developer and have been navigating in data environments for several years.An example of my recent work was to foster actors' resume data filling for a casting company. Actors' agents take a lot of time to fill and update regularly the resume of their comedians. It's a repetitive task they don't want to do on every casting websites. Usually they already have a CMS and website that display the information. I have built a product that automatically fills in the data for them and displays the changes to be reviewed.

I give lessons at Le Wagon Bordeaux in data analysis every quarter. Around 5 to 7 days on various topics, which cover Google Sheet and Business KPIs, introduction to Python or SQL, Fivetran etc. part of the regular Data Analysis Curriculum of Le Wagon.I love to give back to the community and also share my knowledge to motivated students willing to change career paths.It's a very grateful experience where I meet people from very different backgrounds with different levels of seniority but with the same passion for coding and data. I help them switching careers like others did help me in the past.I usually give lessons to a batch of 5 to 15 people.The curriculum is a 9-week intensive bootcamp which covers various topics such as KPIs, SQL, Python, Machine learning, Statistics, Data visualisation, DBT and Fivetran. It ends with real projects built in 2 weeks. These projects are finally presented to an audience of friends, family, alumni and total strangers curious to see what can be done within this bootcamp.If you want to learn more about the bootcamp in Bordeaux, don't hesitate to reach out to me.

Octopia is a B2B operator offering retail customers 3 levels of service to foster their marketplace operations. 1) the marketplace platform and technology 2) vendors and their products 3) fulfillment operations. It is a spin off coming from Cdiscount, one of the top French multi-categories marketplace.Within this context, my role is to bring the best product data to these customers. My team of 5+ people has 2 main missions. One is to set, manage and maintain a product taxonomy which is the backbone used by vendors to fill product data. The other is using data analysis to catalyze our operations around product data enrichment and data quality.We face multiple challenges with product data:- scalability and rationalization of our operations: we handle +100M products on thousands of different categories and we know we do less but better. Final customers need higher data quality in general to make a purchase. We level up on a core offer.- product categorization: which is one pivot point of product data as it has impacts on attributes to fill, where it is displayed on websites' navigation, consumer legal texts that apply or also marketplace commission rates etc.- GTINs or Brand veracity: essential information to identify a product. Barcodes administrated by GS1 are essential on the retail space to enable product identification whereas we talk with vendors, our warehouses or product data enrichment solutions. Everyone uses the barcode. It's a crucial identifier which can ease all operations for final customer satisfactionTo answer that, I reinforced our use of - data analysis through Snowflake- we built strategic dashboards on PowerBI to monitor our KPIs- Python scripts to automate operations- exchanges and support to Data Science teams to build the best-in-class NLP algorithms - and finally bring our retail knowledge to reach on top of technology the best possible product data quality

In charge of all data analysis as well as implementing future data science projects inside Le Closet's apps.In parallel, I'm also doing some web developments like within the Factory project, Le Closet's bespoke WMS. Using Ruby on Rails, Stimulus.js and a bootstrap-only front-end.Le Closet is n°1 French app within the Women casual clothes rental business. It works as a subscription box where you can exchange clothes on an unlimited basis. Women can also buy second-hand clothes from our platform.The goal is to spread the Fashion Revolution to every women: change our consumption habits without blocking the desire to dress differently every day. Dress different.

Alkemics is a Saas B2B platform for retailers and manufacturers helping them to exchange product data.Data model and GDSN integrationMy main mission was to maintain Alkemics data model and open new verticals. Alkemics data model is a mix of product categories and fields to seize data. Each product category would be link to a specific form. For example, the platform would ask customers to fill alcohol ratio or vineyard region or vintage years only for "Wine" products. Those fields would disappear for "Chicken meat" category because non-relevant.Together with the team we have opened two verticals "Parapharmacy" and "Beauty & Cosmetics". This move helped Alkemics conquer new markets and win more major RFPs.I also had a role as Alkemics representative at GS1 GDSN workshops (product data standards). I have accompanied clients to build Change Requests within the standards. At the time, as most of our clients were e-commerce business units, we made the eco-system evolve towards digital and e-commerce needs. I have taken part to quarterly GS1 Infos Produits French main Food retail workshop, numerous GS1 Beauty & Cosmetics France, 2-3 workshops for GS1 Textile Standards France and the GS1 International Summit in Dublin in September 2018.ManagementPart of the role was also to manage and re-build the data model team. At the end, together with 2 analysts we were able to manage multiple clients (around 10 major clients of the retail eco-system), implement 3-4 projects at the same time and support sales teams in their sales long-run processes responding to multiple RFPs.This management role meant taking the decisions on the data model architecture, following up and delegating to both analysts, as well as coaching them to achieve their personal goals within the company. One is now a product manager at Alkemics, the other is a Data model expert with a client exposure.

Last period at Javelin Group has been marked by Accenture buyout, I had the opportunity to boost my digital skills and combine them together with my analytical ones I had gained at Oliver Wyman.Main missions: a full cost analysis and logistics optimisation for a French online grocery retailer; a new stock model for a French grocery retailer's textile branch; a digital brand repositioning for a French textile company as well as its supply chain cost optimisation.

I discovered digital marketing in this first year and a half. I was out of my analytical comfort zone learning from clients' digital needs, forthcoming digital marketing musts and focusing on bridging retail's physical and digital worlds.Main missions: a digital strategy across Europe for French #1 DIY retailer and a seamless customer-centric worldwide strategy for the top brand of the #1 luxury group

My first job experience was at Oliver Wyman as a strategy consultant. 80% of the job I did required pure analytical and technical skills. I learned mastering Excel as well as SQL. This is where I got passionate for data. Learning how to gather and extract insights from numbers.How to handle databases or conduct quickly and accurately the right analysis.Main missions: I made an offer and purchase analysis for a European grocery retailer, as well as two projects on pricing / revenue management. One for a DIY retailer and the other for a leisure company.