PRODA LTD
Marcelo Zabani has a diverse work experience in software development and leadership roles. Marcelo currently works as a Software Developer at PRODA LTD since April 2019. Prior to that, they were employed at Daitan Group as a Software Developer from September 2017 to April 2019. During their time at Daitan Group, Marcelo focused on developing messaging/routing systems and libraries.
Before joining Daitan Group, Marcelo worked at Elite Campinas as a Software Development Lead from July 2014 to September 2017. Marcelo also co-founded two companies, Beeder in 2013 and Elomeno in 2011, where they played a key role in the initial stages of the companies.
Marcelo's early career includes their tenure at Elite Campinas as a Software developer and Math and physics tutor from December 2009 to February 2013. Marcelo developed various web systems and worked on projects related to student management, report generation, and payroll customization.
Overall, Marcelo Zabani brings a comprehensive skill set and extensive experience in software development and leadership roles to their current position.
Marcelo Zabani attended the Universidade Estadual de Campinas from 2008 to 2013, where they pursued a degree in Computer Engineering. Marcelo'sfield of study throughout this period was solely focused on Computer Engineering.
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PRODA LTD
PRODA is focuses on solving core data processing pain points in real estate. They are combining real estate expertise with data science to develop machine leaning-enabled software, with the aim of truly automating many analysis and reporting tasks for real estate professionals.Automation is a key driver of digital transformation in everyindustry, underpinned by advances in artificial intelligence and machine learning. Automation holds huge potential to improve speed, accuracy and productivity. The real estate industry is no exception, but so far limited progress has been made towards digitalisation. Many companies are still running on traditional workflows, for instance using spreadsheets to organise, process and share their data. This data comes in unlimited different formats, and is often stored across unstructured, disparate filing systems, creating data silos.