Andràs Péchy, PhD
About Andràs Péchy, PhD
Andràs Péchy, PhD, is a Data Science Project Manager at UBS with extensive experience in data science and project management. He previously worked at Accenture and The Boston Consulting Group, and holds a PhD in Economics from Universität Zürich.
Current Role at UBS
Andràs Péchy serves as a Data Science Project Manager at UBS, a position he has held since 2021. In this role, he leads both onshore and offshore teams of up to nine members, focusing on the delivery of data science and data engineering projects. His responsibilities include overseeing project execution and ensuring alignment with business objectives.
Previous Experience at Accenture
Prior to his current role, Andràs Péchy worked at Accenture as a Consultant in Digital Analytics from 2016 to 2020. During his four years in Zürich und Umgebung, Schweiz, he contributed to various digital analytics projects, leveraging his expertise to drive data-driven decision-making for clients.
Academic Background and PhD Research
Andràs Péchy completed his PhD in Economics at Universität Zürich from 2011 to 2016. His research focused on developing novel demand estimation methodologies, utilizing MatLab for his analyses. This academic experience laid the foundation for his data science expertise.
Educational Qualifications
Andràs Péchy holds multiple degrees in Economics. He earned a Master of Science (MSc) from Université de Lausanne from 2007 to 2009, following a Bachelor of Science (BSc) from the same institution from 2004 to 2007. Additionally, he studied at Humboldt-Universität zu Berlin as part of an Erasmus program, achieving an MSc in Economics from 2008 to 2009, and attended Budapesti Corvinus Egyetem as an exchange student, where he obtained a BSc in Economics from 2006 to 2007.
Technical Skills and Specializations
Andràs Péchy possesses nine years of hands-on experience as a coder and modeler, proficient in programming languages such as Spark, Python, and R. His specialization includes various use cases, such as root cause analysis, matching algorithms, and cash flow monitoring and optimization. He combines technical skills with a business-oriented mindset and strong project management abilities developed during his six years in consulting.