Pricilia Meidy Winengko

Pricilia Meidy Winengko is an accomplished data professional with extensive experience in financial data science, currently serving as a Data Crafter at Sociovestix Labs since March 2021. Key achievements include leading projects on sustainability-linked bonds and biodiversity databases, as well as performing extensive data cleaning and analysis using Python and PowerBI. In addition to this role, Pricilia serves as Head of SDG Outreach at SDGLabs.ai, contributing to the advancement of the United Nations’ Sustainable Development Goals. Previous experience encompasses research assistant positions at the Institute for Economic and Social Research, project internships, and various teaching assistant roles, all underpinned by a Bachelor’s degree in Economics from the University of Indonesia.

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Jakarta, Indonesia

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Sociovestix Labs - first in financial data science

Sociovestix Labs Ltd. (SVL) is a socially motivated enterprise founded in July 2012 by four academics with in-depth expertise in artificial intelligence, data science, financial statistics and sustainable finance as a spin-off from the German Research Centre for Artificial Intelligence (DFKI). We have both financial and social aims. Our financial aim is to create value for our clients through the potential of our AI and financial data science technologies. Our social aim is to provide a clear voice to all groups in societies. We achieve this by directly communicating their concerns and capabilities on environmental, social and governance issues to responsible investors. Specifically, we commit to working with any digitally connected, talented individual regardless of residence status. More generally, our work is inspired by the 2015 United Nations’ Global Goals for Sustainable Development. To the best of our knowledge, we were the first team of scientists to set up and join laboratories in the emerging discipline of financial data science. Hence, our credo: we love learning, we empower evidence, we amplify sustainability. We embody Sociovestix Labs: first in financial data science.


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51-200

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