Porto, Porto, Portugal
For a century, food companies have operated on the same model: develop products in labs, bet millions on retail distribution, and wait 12-18 months to discover if people actually want what they made. We're building something fundamentally different. At Oh!My Snacks, we treat food development like software, iterative, data-driven, and deeply personal. Every snack consumed generates real behavioral feedback. Every vote teaches our algorithms. Every preference shapes what comes next. This isn't about selling snacks. It's about proving that the entire food industry can work differently. What if products were developed based on what people actually eat and love, not what focus groups say they might buy? What if innovation cycles were measured in weeks, not years? What if personalization meant understanding individual taste evolution over time, not demographic segments? The implications go far beyond snacks. We're building the infrastructure for a food system that learns, adapts, and serves people as individuals. The traditional model is broken. We're showing there's a better way.
This is the story of a numbers’ geek who was obsessed about creating passionate and life-changing businesses. With an immeasurable thirst for entrepreneurship and innovation, his life revolves around delivering radical new business models built upon winning algorithms. He’s currently in a serious relationship with the idea of making hyper-personalization the next big thing. As you must have already suspected, this is my story. I’m the founding partner of Oh!My. And I’m just getting started.
Leading the Business Analytics Department and reporting directly to the board, my main focus is to act for a data-driven culture. Our team is completely centralized and works for all Grupo Porto Editora, serving differents business units as Bertrand, Wook, Escola Virtual, Areal Editora and Porto Editora. My goals: - To be a data evangelist within the business, representing data as an asset to drive profitability, increase efficiency, optimise processes and build better solutions and services for the company and our customers, help in this way to prepare Porto Editora for the future. - Prioritize projects across the team and allocate resources to meet business and team goals. - Apply my expertise in quantitative analysis, machine learning, strategy and innovation to see beyond the numbers. -Secure proper documentation and approvals for projects considering the ethics of Data Science - Continuously learn about industry trends and keep the key stakeholders educated. - Directly contribute to team goals (hands-on in Supervised and Unsupervised Learning, recommendation systems, etc).
My focus is to build and develop a Data Science team from scratch and create insight for Grupo Porto Editora (Bertrand, Wook, Escola Virtual, etc.), cross-departmentally, through: - Deliver clear vision, direction, and standards for the data science team and ensure their compliance. - Clearly communicate business goals to the data scientists, ensuring they are always adding real value. - Delivering insights back to non-technical management and stakeholders. - Working with large data sets, building advanced statistical and machine learning model. - Analytics that support key financial processes such as budget, strategic planning and forecast. - Drive the advanced analytics agenda by leading initiatives around customer segmentation, recommendation engines, churn, Customer Lifetime Value, sales forecast, etc.
- Use statistical/mathematical techniques and knowledge of market structure to design new trading algorithms and systems and improve existing ones. - Identify patterns and/or suggest new and innovative ways to think about the problem at hand. - Clean, analyze, and visualize large data sets. - Leverage a wide array of technical tools to derive signal: machine learning, signal processing, statistics, financial modelling and risk modelling. - Synthesize the above to develop actionable, quantitative, backtested trading insights where all factors influencing a recommendation are fully understood.
- Started the First Big Data Project at Sonae MC (e-Commerce and Mobility). - Targeted campaigns using analytics to segment consumers, identify the most appropriate channels and forecast the customer lifetime value. - Personalized recommendations and multi-level reward programs based on purchase preferences, online data, smartphone apps, sales, etc. - Developer Churn Detection algorithm - Deliver insights & recommendations in support of business challenges and decision making - Analytics that support key financial processes such as budget, strategic planning and forecast.
- Portfolio and Risk Manager of Flagship Strategy – investment in any asset class, Forex, Index, Rates, commodities and macro oriented long/short portfolios for accredited investors, using futures and options, leveraging fundamental, macroeconomic and quantitative research and analysis. - Accountable asset class: Commodities – Advise and construct Algorithms (R e Python) - Derivatives pricing in the binomial model including European and American options; handling dividends; pricing forwards and futures; Black-Scholes, the Greeks and delta-hedging; the volatility surface; pricing derivatives using the volatility surface; model calibration. - Accountable asset class: Commodities – Advise and construct Algorithms (R e Python) - Derivatives pricing in the binomial model including European and American options; handling dividends; pricing forwards and futures; Black-Scholes, the Greeks and delta-hedging; the volatility surface; pricing derivatives using the volatility surface; model calibration.