HyperFinity
Emilie Maillot has had a progressive career in data analysis and digital marketing. Emilie started their professional journey as a Paid Marketing Communications Executive at Stickyeyes in January 2018, where they worked until March 2019. Following this, they joined Bolser Digital Agency as a Digital Marketing Analyst in March 2019 and worked until August 2020. Emilie then joined The Home Agency as a Data Analyst in August 2020 and remained with the company until February 2023. Emilie's most recent work experience is as a Data Scientist at HyperFinity, where they started in February 2023. Throughout their career, Emilie has gained valuable experience in various roles within the data analysis and digital marketing fields.
Emilie Maillot completed their education at the University of Leeds from 2016 to 2017, where they obtained a Master's degree in Linguistics. Prior to that, they attended Université de La Réunion from 2013 to 2015 and acquired a Licence degree in LLCE Anglais. Additionally, they have earned several certifications related to Google Analytics and digital marketing, including "Getting Started with Google Analytics 360," "Advanced Google Analytics," "Google Tag Manager Fundamentals," and "Introduction to Data Studio." The dates for their digital marketing certification are not provided.
HyperFinity
We use decision intelligence to help retailers sell the right products, to the right people, for the right price. Our HyperFinity SaaS product democratises the use of advanced analytics to generate deep customer insight and to make data driven decisions across key business areas. At the core of our product is a super-fast, cloud-based architecture that enables ETL, feature engineering and machine learning all in one place. Our analytics engine performs affinity analytics and attribution at extreme speed to create and understand customer need states, using anonymised, multi-channel customer data. It predicts the impact of decisions, such as where demand will be transferred to if a product is removed from or substituted in a range or what is the optimal combination of products for individual stores, based on the customers who shop there. And our easy to use, highly visual UI gives non-technical people access to powerful insights from data science, which help them make improved, customer led decisions. Our solutions are backed by our own knowledge and experience gained in leading consumer businesses, such as Asda, Walmart and Sky, plus innovative data, analytics, and technology companies. We offer expert and pragmatic guidance on applying our products, not leaving you to figure it out on your own. In parallel with our SaaS product, we deliver expert retail data science and data strategy consulting on either a project or retained basis.