Exacaster
Egle Baradinskiene has a diverse work experience spanning various roles and industries.
From 2022, they work as an Expert at Digital MERIT.
Prior to that, they held multiple positions at Exacaster from 2016 to 2021. These include Head of Analytical Solutions, where they developed and applied analytical solutions for telcos, and also served as a mentor and lead for a team of Data Analysts focused on data integration, transformation, and campaign automation. Egle started their journey at Exacaster as a Senior Data Analyst.
Egle previously worked as an Analyst at UAB Efektyvus from 2014 to 2016 and at Maxima LT, UAB from 2010 to 2014. At these companies, they conducted data analysis, segmentation, and prepared monthly reports.
Egle briefly served as a Market Analyst at EUROAPOTHECA in 2010 and as a Data Analyst at Euromonitor International from 2008 to 2010.
Their career in the field began in 2006 at PRO FINANCE, where they worked as a financial analyst and office assistant, responsible for reporting and office routines.
Egle Baradinskiene has a strong educational background, with degrees spanning multiple fields of study. Egle holds a Ph.D. in Mathematics from Vilnius University, which they pursued from 2008 to 2020. Prior to their doctoral studies, Egle completed their Master's degree in Econometrics at Vilnius University from 2006 to 2008. Egle also obtained a Bachelor's degree in Statistics (Econometrics) from the same institution between 2002 and 2004. Egle's educational journey began at Vilniaus Gabijos gimnazija, although the specific start and end years are not provided.
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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.