Makersite
João Santos has a diverse work experience spanning several industries. João began their career at Infineon Technologies in 2017, where they worked as an Order Evaluation specialist and later transitioned to a role as a Payable Accountant. In 2020, they joined ITSector as a Software Tester, where their responsibilities included writing and executing test cases and conducting manual testing. From 2021 to 2022, João worked at Smart Consulting as a Software Quality Assurance Tester, where they contributed to projects including Jumia and Royal Canin. Currently, they are employed at Makersite as a QA Engineer.
João Santos has a diverse education history. João completed a Licenciatura in Informática de Gestão at Coimbra Business School | ISCAC starting in 2020, although the end year is not specified. Prior to that, they pursued a Master's degree in Marketing from FEUC - Faculdade de Economia da Universidade de Coimbra. João attended this program from 2015 to 2017. Before their Master's degree, they earned a Licentiate degree in Gestão de Empresas from Coimbra Business School | ISCAC, which they completed between 2011 and 2015.
In addition to their formal education, João Santos also holds several certifications. João obtained the CERTIFIED ISTQB® FOUNDATION LEVEL (CTFL) - SYLLABUS 2018 certification from PSTQB - Associação Portuguesa de Testes de Software in December 2022. In July 2019, they completed the SAP Consultant Career Start certification offered by Abaco Consulting. Furthermore, they completed two courses on data analysis and visualization: DAT207x Analyzing and Visualizing Data with Power BI and DAT206x Analyzing and Visualizing Data with Excel, both through edX, in January 2017.
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Makersite
Makersite is a cloud-based product data management tool that helps companies manage product sustainability, cost, and compliance. Product life cycle management involves making design decisions based on multiple criteria including cost, compliance, sustainability, and risk. Unfortunately, the data and expertise required to make these decisions aresiloed. This protracts the process of innovation and increases its complexity. Today, the market solves this problem with vertical applications like PDM, ERP, CAD, EHS, SCM, etc. These mostly remain siloed due to the enormous costs of integration and keeping data synchronized. Therefore, analyses typically require exporting data to aggregation tools e.g. BI or excel before being used for analyses in specialist decision support applications. Results are typically delayed, some taking as much as 9 months, and therefore provide little support during the design process. Makersite provides results instantly and simultaneously across key product criteria.Makersite combines external and internal data sources to create a digital twin of a product in design. Artificial intelligence and its graph-based data model allow for ingesting, representing, and connecting heterogeneous data easily. Its native applications use algorithms to support analysis and decision-making based on multiple criteria simultaneously including should-costs, regulatory compliance, life cycle impacts (LCA), supply chain risk, etc. The API-first architecture allows for easy integrations into existing IT infrastructures thereby supporting systems and processes with richer, fresher, and more timely product data.This allows engineers to understand and improve their designs from the perspective of their regulatory compliance, environmental impact, supply risk, and cost of production, simultaneously. Companies can get results up to 40x faster than traditional methods while making their products better.