Exacaster
Egle Zuzeviciute has a diverse work experience spanning various industries. Their most recent role is as a Communication Expert at Digital MERIT, starting in 2023. Prior to that, they worked at Exacaster as a B2B Product Marketing Manager and Sales Marketing Manager from 2017 to 2018. Before that, they were a Coworking Manager at Vilnius Tech Park from 2016 to 2017.
In 2014, Egle co-founded Women in Programmatic (WiP), a professional organization aimed at empowering and supporting women in the adtech industry. Egle remained actively involved until 2017. Additionally, they worked as a Digital Marketing Consultant at Cause An Effekt from 2015 to 2016, and as an Activation Manager, APAC at StrikeAd from 2014 to 2015.
Their earlier experiences include roles such as Brand Ambassador at PlateCulture in 2014, Business Development Manager at mediaQuark from 2013 to 2014, and Marketing Manager at STATSIT from 2011 to 2013. Egle started their career at Limkokwing University of Creative Technology as a Marketing Manager from 2009 to 2011.
Egle Zuzeviciute has demonstrated expertise in communication, product marketing, sales marketing, coworking management, digital marketing, and business development throughout their career.
Egle Zuzeviciute completed their Bachelor's degree in Management and Business Administration at Vilnius University from 2004 to 2008.
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Exacaster
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Exacaster is a big data predictive analytics technology company developing advanced machine-learning algorithms and tools that address sales and marketing challenges including churn or usage prediction, product recommendations, segmentation and real time dynamic pricing. The Exacaster Platform, the company's flagship product, helps telecomand retail marketers visualize data, predict customer behavior with propensity models, execute model-driven or event-triggered multi-channel campaigns and measure their impact. Exacaster BigMatrix is a software product that makes data mining on Hadoop more efficient by taking care of definition, extraction and automated updating of feature vectors used for large scale predictive analytics. It easily prepares matrices that have tens of thousands of features for millions of objects.As of January 2014, the Exacaster platform has been deployed by telecom and retail clients in nine countries on three continents and is used to crunches behavioral data on more than 10 million consumers daily.