Diogo Valente Polónia

22-year-old Portuguese student, finishing my Master's in Industrial Engineering and Management at the University of Porto. With extensive experience in business, strategy, and engineering case study competitions, as well as in data science hackathons, both nationally and internationally.
I've been active in several juvenile associations, most prominently, as President of ShARE-UP, a junior association that develops a training program for students and consulting projects for startups and businesses, focusing on combining economic performance with societal progress.
Professionally, I've worked at Smartex.ai, a fast-growing Portuguese start-up that is disrupting the textile industry by providing AI tools to minimize waste production, and its environmental consequences. Besides, I've used analytical and machine learning tools in a brief internship at Sonae Fashion, as part of the Customer Strategy team.
Currently looking for ways to apply business, analytical and technical concepts to solve social or environmental issues.

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Sessions

09-24
10:45
35min
A Python-Based Methodology for Solving Sustainability Problems with Data Science
Diogo Valente Polónia, João Afonso Pereira, Patrícia Rocha, João Matos

Python, as a one-stop-shop for Machine Learning, Geospatial Analytics, Optimization Algorithms, and Visualization Tools, can be leveraged to create a simple yet effective sustainability decision-making methodology with just four steps: Geospatial Indexing, Feature Engineering, Predictive Scoring, and Score Optimization.

With it, it's possible to tackle distinct sustainable development issues, from mobility transition to light pollution in a way that decision-makers can quickly implement it to take action for the Sustainable Development Goals.

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