Exacaster
Laura Krisciunaite started their professional career as an AML Specialist at DNB in 2016. Laura then became an Assistant of Sales Management Unit at the Small Business Clients Department before leaving DNB in 2017. In 2018, they joined Girteka Logistics as a Process Division Manager, focusing on fuel and process optimization. At Girteka, they were responsible for analysis, problem-solving, and communication with colleagues. In 2020, Laura joined the Military Academy of Lithuania as a Project Manager in Strategic Communication. In this role, they developed an interest in communication and data analysis, completing courses in SQL and Public Affairs. Currently, Laura is working as a Data Analyst at Exacaster, a position they obtained in 2023.
Laura Krisciunaite attended Vilnius University from 2013 to 2017, where they pursued a Bachelor's Degree in Economics. Additionally, they studied Economics at the Katholieke Universiteit Brussel from 2015 to 2016. In 2022, Laura obtained a certification in SQL: Data Reporting and Analysis from LinkedIn.
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.