Prachi Chandrakant

Data Analyst at PRODA LTD

Prachi Chandrakant's work experience includes roles such as Data Analyst at PRODA LTD starting from March 2019. Prior to that, they served as a Student Ambassador at the University of Warwick from October 2017 to October 2018. Prachi also worked as HoD- Corporate Relations at Intent - The Entrepreneurship Development Cell, N.M. College from June 2016 to March 2017. In addition, they interned as a Sales And Marketing Intern at Universal Enterprises from April 2016 to June 2016. Prachi's earlier experience includes their role as a Member Executive of Alumni Relations at Intent - The Entrepreneurship Development Cell, N.M. College from June 2015 to March 2016.

Prachi Chandrakant completed their Master of Science degree in Innovation and Entrepreneurship from the University of Warwick from 2017 to 2018. Prior to this, they attended Narsee Monjee College of Commerce and Economics from 2014 to 2017, although their degree name and field of study are not specified. In addition to their formal education, Prachi also obtained a certification in "Essentials of Entrepreneurship: Thinking & Action" from Coursera Verified Certificates in September 2015.

Location

London, United Kingdom

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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.


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Employees

11-50

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