Brussels, Brussels Region, Belgium
Simply passionate about learning and driven by the purpose to serve/contribute to common good, by helping build and scale innovative solutions (including low tech & frugal) to systemic - ecological & social – challenges. Caveat : I only share here my (yet small) wins. There would never be enough characters allowed on LinkedIn to describe the times I fell short and obstacles I had the chance to learn from. Trained as a research engineer, I was fortunate to work on some exciting Physics when graduating with a Masters in Quantum Matter and an engineering degree in Nanophysics, along with an International Diploma from Imperial College London with major in theoretical Physics. I was also privileged to complement my analytical skills with a transdisciplinary training at Sciences Po Paris within the master’s in Economics and Business - International Management and Sustainability. I deeply enjoy working in multicultural environments given my international family background, making me trilingual in French, Italian, Spanish, perfectly fluent in English and B2 in Portuguese - currently improving. Through my scientific training, I developed analytical skills applied to fundamental research topics and practical problem solving abilities : Several computational physics projects throughout my studies helped me gain hands-on experience with data analysis and programming (in Python & C mainly). Furthermore, my eclectic choices of education and experiences equipped me with a polyvalence enabling me to adapt when intersecting fields are implied in a project. I am now determined to put to service the competencies I developed through technical and business experience. In particular, I am excited to contribute to implementing solutions to address the challenges of a Sustainable and Inclusive Development. My aim is therefore to keep improving my operational abilities along with my international exposure, while continuing to volunteer in the "Tech/Data for Good" communities.
Working alongside Engie's central & western Europe RES & BESS trading desk and intraday trading desk - which manage Engie's portfolio (>10 GW in total) in Germany, Belgium, Netherlands and France of Renewable plants/upstream PPAs, flexible assets (CCGTs, hydro pumped storages, Battery energy storage systems) and downstream/sales positions - through : ➀ Automating day-ahead vs intraday vs imbalance strategies - exploring new signals, deploying algos that trade continuously and curtail renewables (PnL > 1 M€/year) ➁ Enhancing market intelligence - building data scrapers and real time dashboards (in python apps and cloud databases) to guide trading decisions. Data ownership on short term timeseries and reserves merit orders (including follow up with ENTSOE transparency platform). ➂ Providing fundamental views on short term markets based on in-house stack models ④ Performing ad hoc quantitative and regulatory studies on market dynamics and evolutions. Examples : - Intraday auctions modelling approaches performances - Statistics on pre vs post PICASSO accession in central western Europe (imbalance prices volatility, aFRR activated per country and bidding behaviour evolutions) and simulations of 1 minute granular aFRR cross border perfect foresight dispatch to reconstruct imbalance prices and deduce sensitivities ➄ Reporting to top management on intraday, imbalance and ancillary prices (built pipeline to update daily global trading department CEO + Excom) ➅ Following up / advising BESS valuations (continuation from previous position) ➆ Structured and animated onboarding for newcomers in the power trading department, and represented analysts team in transversal innovation network ➇ Led team of 2 analysts focusing on intraday and balancing markets Created a small mindfulness group for trading floor colleagues and guided meditations Part of GEMS GMA team - Global Market Analysis
Volunteering on weekends' time on projects with local impact together with a great community of peers Contributed most proactively to : - Body talks - Volunteering skills fair
Gathered through the Latitudes/Tech for Good community and guided a (great!) team of three data science Master's students - in final year at CentraleSupelec - mentored together with two experienced senior data scientists, in order to explore the implementation of state-of-the-art NLP models (BERT deep language family models) to help fulfill MANA Vox mission of collecting information about the environmental impact of agribusiness corporations. (This was an entirely pro bono commitment to help MANA Community in my personal time aside from completing my Economics master's degree. It has been an exciting and necessary continuation of my previous work to develop a classification model with an IBM Watson based architecture for MANA)
CLEAN is the biggest Danish Cleantech Cluster My work has been focused on supporting the development of: ➀ Smart City projects with South Korean partners - notably involving SMEs with IoT and vanadium redox flow battery technologies - & Clean Air projects (through SBAs, applications to Eurostars and P4G grants). ➁ Waste to Energy and Circular Economy project opportunities in Sao Paulo and Rio de Janeiro ➂ City Solutions Platform and Nordic solutions for C40 programs "CLEAN is a world-leading cleantech cluster based in Denmark with an international focus. Its mission is to accelerate the green and sustainable transition while realising growth for the Danish cleantech sector. It is officially labelled a GOLD cluster according to the standards for cluster excellence adopted by the European Commission. CLEAN facilitates high-value cooperation between parties, by bringing members closer to markets, customers and peers. It is a “triple helix” cluster in that its members are from: – Public sector = “problem owners”, purchasing power and demand-driver – Private sector = ability to innovate, commercialize and scale new solutions – Research institutions = cutting edge knowledge, research and innovation"
Data Analytics team in the IBM Cloud Business Unit. Core responsibilities: ➀ Designing and implementing prototypes using Watson AI modules aimed at demonstrating use cases to clients ➁ Developing expertise of the internal technical sales team on Watson Openscale solution addressing bias detection, mitigation and explainability of black box models, speaker at Paris Big Data Conference 2018 presenting the solution (https://twitter.com/IBM_France/status/1105099452468072453). ➂ Meeting with prospective clients of Watson AI solutions, representing IBM Cloud Business Unit at professional fairs (Rencontres d'affaires francophones Internationales, Mobile One conference). Main projects: ➃ Design of the architecture and implementation of an optimized model using Watson modules for MANA Community, NGO collecting information on negative environmental impact by agribusiness corporations through a whistle blowers citizen network. ➄ Assembling and setting up of half a dozen robots - called TJ Bots - based on raspberry Pi microprocessors using Watson AI modules, including a chatbot and visual recognition (using Node-RED IoT dev tool) to eventually animate enablement workshops addressed to executives in which they were guided to interact and train the TJ Bots by themselves. ➅ Technical Support in Hackathons involving Watson technology (Bouygues Telecom 2018 Hackathon, IBM hackathon 2018). "Evangelisation" and technical enablement (Watson & Cloud Academy 2018). ➆ Worked with the IBM France Quantum Computing team on a Technical Expert Council report aimed at identifying early business opportunities for Quantum Computing