Christian Luepke

Product Manager at PRODA LTD

Christian Luepke began their work experience in 2019 at Emma - The Sleep Company, where they worked in business development for seven months. In 2020, they joined PRODA LTD as a business analyst, contributing to the development of AI-enabled software for commercial real estate data processing. Currently, they hold the position of Product Manager at PRODA LTD, overseeing the creation and implementation of innovative solutions.

Christian Luepke began their education journey in 2016 at The Philipp University of Marburg, where they pursued a Bachelor's degree in Business Administration. Christian successfully completed their undergraduate studies in 2019.

In 2018, Christian had an opportunity to participate in an undergraduate exchange program at the Haslam College of Business at the University of Tennessee, although no specific degree was mentioned for this experience.

Following their undergraduate studies, Christian enrolled at the University of Kent in 2019 to pursue a Master's degree in Business Analytics, which they completed in 2020.

In addition to their formal education, Christian has also obtained several certifications to enhance their skills and knowledge. In 2019, they obtained an IELTS certification from the British Council. Subsequently, they acquired certifications in Machine Learning & Data Science from Udemy in June 2020, Design Thinking for Business Innovation from Coursera in February 2021, Digital Product Management from Coursera in June 2021, and Software Product Management from Coursera in February 2022. Christian completed a Product-Led Certification from Mind the Product in February 2023.

Note: This summary is based solely on the provided information and does not make any assumptions beyond what is explicitly stated.

Location

London, United Kingdom

Links


Org chart

No direct reports

Teams


Offices


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.


Industries

Employees

11-50

Links