PRODA LTD
Charles Williams started their work experience in 2011 as an Associate Director at Tristan Capital Partners. Charles joined the company during its early stages and witnessed its growth over the course of five and a half years. In 2016, Charles co-founded PRODA LTD, where they served as the Chief Product Officer. At PRODA, they aimed to find technology solutions to the problems faced by the real estate industry.
Charles Williams pursued their education, starting from 2002 at Winchester College. However, it is not specified whether they obtained any degree or completed a specific field of study during their time there. Following their education at Winchester College, they went on to attend the University of Cambridge. From 2007 to 2010, Charles pursued a degree in Land Economy and earned their MA Hons. Returning to the University of Cambridge, they then pursued an MPhil in Real Estate Finance from 2010 to 2011. In addition to their formal education, Charles also obtained various certifications. In 2012, they achieved the Chartered Alternative Investment Anlayst (CAIA) certification from the CAIA Association. Charles also obtained the Chartered Financial Analyst (CFA) certification from the CFA Institute in 2015. The same year, they received a Certificate in Quantitative Finance (CQF) from the CQF Institute. In 2014 and 2016, Charles participated in the Financial Modeling World Championships (MODELOFF) and achieved 6th and 5th place respectively among the numerous participants. Furthermore, Charles obtained certification in Machine Learning by Stanford University (99.2%) through Coursera Course Certificates in 2017. Lastly, in 2010, they completed a course on Learning LinkedIn Recruiter offered by LinkedIn.
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.