Exacaster
Rūta Juodeikytė has work experience in various roles and companies. Rūta is currently working as a Junior Data Analyst at Exacaster since July 2022. Prior to this, they worked at Čili Holdings as a Chief Financial Officer from January 2021 to February 2022, and as a Senior Financial Analyst from September 2019 to January 2021. Rūta also worked at BAA Training as a Financial Analyst from March 2019 to September 2019. Before that, they were employed at Čili Holdings as a Financial Analyst from February 2011 to March 2019. Rūta also worked at SEB as a Project Manager from January 2009 to December 2010 and at Zabolis Partners as a Junior Analyst from December 2007 to October 2008.
Rūta Juodeikytė's education history is as follows:
In 2022, they attended Vilnius CODING School and completed a 140-hour course in Data Analytics.
From 2010 to 2012, they pursued a Master's degree in Banking at Vilnius University, specifically at the Faculty of Economics.
From 2004 to 2008, they earned a Bachelor's degree in Financial and Actuarial Mathematics, specializing in Statistics. This degree was obtained from Vilnius University's Faculty of Mathematics and Informatics.
In addition to their formal education, Rūta Juodeikytė obtained a certification in Data Analytics from Vilnius CODING School in May 2022.
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.