As a Data Scientist at Quadratic, I help organizations unlock the full potential of their data. My expertise ranges from selecting, training, and deploying scoring models for credit to optimizing processes, managing risks, and enhancing overall performance.I’m passionate about the technical side of data science—building CICD pipelines, packaging machine learning models, and infrastrucure requirements and implementation. I focus on designing and implementing efficient, reliable data solutions that solve real-world problems.

Attended the Bootcamp to master the fundamental skills of a Data Scientistin just a few weeks. The course ended with a two-week AI project where we built an app to test pictures for DeepFakes (2 CNN classifier models)Data Analysis: Produced a report on the Olist Dataset (Kaggle) with SQL, Python, Pandas and Matplotlib.Machine Learning and Deep Learning: built a model a day for 3 weeks with Scikit-Learn and Tensorflow, reviewing the main models for both regression and classification.MLOps: deployed prediction models using FastAPI and MLFlow on google cloud platform (Cloud Run / Storage/ Artifacts). Training locally tested models on google VMs.

Accelerator Program at Station F, selected to be part of a 60 people batch to find a co-founder, iterate and test ideas. The program confirmed I wanted to take on a more technical role and delve deeper into AI. I Discovered a wealth of new technologies in close contact with experts in AI, software development, biology and physics. Through testing ideas and partner matching, discussed with numerous potential clients and partners and delved in-depth in markets I was less familiar with. Tested and iterated on projects in API aggreration and solar panel manufacturing, which we decided not to pursue at the end of the program after intense discussions with stakeholders.

Design and development of a website and back-office for a non-profit from scratch. The website was built using Django for the backend and Tailwind / JS for the front-end. The website deployed on Heroku is mobile responsive and integrates payments for annual subscriptions and one-off events.As a sole developper on the project, I built the website to improve the non-profit's visibility and manage all finances and communication on the website. Thanks to Django's admin, I was able to make the organisation autonomous in managing users, blog posts.Integrated Stripe to have the annual subscription (payed annually and only valid until the end of the year) fully automatic within the website and have an up-to-date databaseUsed OVH to purchase the URL and setup the DNS instructions and make sure the visitor's experience is as smooth as possibleConnected Google Analytics to be able to track the website's performance on the different pages.

Setup and maintenance of the finance and admin stack, from accounting and cash management to data analytics dashboards (SQL - Chartio). As the revenue officer, implemented dynmaic pricing algorithms on 2000+ parkings and sales prospection toolkit calculating the projected revenue on parkings given the location.Finance:Cash processing on over 1M€ per month through card (Stripe), SEPA collection (GoCardLess) and wore transfersSetup and communication on SaaS tools for the finance stack, for purchases (Spendesk) and payroll (PayFit)Setting-up and maintenance of a monthly cash report and business plan update (GSheet)Data:Dashboards (SQL / Chartio) build and maintenance for the different teams, with a monthly presentation of current resultsFinance data integration in a query-able databaseDevelopment of a model (non-AI) for sales prospection projecting revenue based on prospected parking location to optimise inclusion of new parkings in the portfolio.Dynamic Pricing Algorithm for 2000+ parkings based on time series data.Management:External providers (accountants, lawyers, consultants)Office manager.

From junior to senior, I learnt how to lead a team of experts on financial due diligence. Handled large dataset of financial and extra-financial numbers, and delivered reports to clients with in-depth analysis of the company's performance.Performance analysis revovled around historical performance, business plan, working capital and net debt analysisDals ranging from €1m to €1Bn, across various sectors, especially retail, industrial, events and pharmaceuticals. Deals include share and asset deals, carve-outs as well as full disposals.Worked in coordination with key people within the target organisations (CEO, CFO, COO, CTO) and other transaction stakeholders (e.g. strategy consultants, lawyer firms, investment banks)Involved in the setting-up of the London office, where I was based until July 2017, on wide-ranging topics such as training, procurement and commercial development. Also helped as additional resource for the new Frankfurt office from July 2017Exposure to other financial advisory topics, mainly underperformance / restructuring, valuations and real estate

Involved in a 3 months transversal audit of the company's savings plan, covering most of the group's activities, in a context of falling oil prices

As a member of the settlements team, I worked on all back-office aspects of interbank transactions / flows. This included working in close contact with the different parts of the bank, but also with different external organisations, mainly clearing houses (clearstream, euroclear) and transaction counterparts.