PRODA LTD
So Young Ann has a diverse background in business analysis and data analysis. So Young began their professional career in 2017, where they worked as a Data Analyst at Mumsnet for one month, followed by another Data Analyst position at Landward Research Ltd for two months. In 2017, they also served as the Head of Events at UCL Data Science Society for one year.
Ann then transitioned into the field of business analysis, working as a Business Analyst at PRODA Ltd from January 2019 to August 2020. In this role, they conducted in-depth analyses of leasing performances, collaborated with internal teams to improve and automate processes, and utilized SQL and Excel to analyze large datasets.
Ann's expertise grew as they advanced to the position of Senior Business Analyst at PRODA Ltd from August 2020 to March 2023. During this time, they continued to analyze leasing performances and also focused on wireframing product UX ideas and incorporating user feedback.
Currently, Ann holds the position of Lead Business Analyst at PRODA Ltd, starting in January 2023.
So Young Ann attended Tudor Hall School from 2012 to 2014. However, no specific degree or field of study is mentioned for this period. So Young then pursued a Bachelor of Science degree in Statistics at UCL from 2015 to 2018.
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.