Exacaster
Aistė Šaltenytė's work experience includes a role as a Junior Data Analyst at Exacaster since August 2022. Prior to that, they worked as a Consultant at EY from May 2021 to July 2022. Aistė also has experience at Danske Bank Lithuania, where they held various roles including Officer - Service Delivery, Senior from April 2020 to December 2020, Business Analyst Intern from October 2019 to April 2020, Operations Officer from November 2017 to March 2020, and Junior Operations Officer from October 2016 to October 2017.
Aistė Šaltenytė's education history begins with their high school studies at Panevėžys Juozas Balčikonis gymnasium, where they obtained their High School Diploma from 2008 to 2012. Aistė then pursued a Bachelor of Science (BS) degree in Financial Economics from the University of Dundee, studying from 2012 to 2016.
In 2020, Aistė attended Vilnius CODING School for a Supplementary Course in Data Analysis. This educational experience lasted for the duration of one year.
Additionally, Aistė Šaltenytė obtained a certification in SQL - MySQL for Data Analytics and Business Intelligence from 365 Careers & Udemy in June 2021.
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.