Exacaster
Aurelijus Stancikas has a diverse work experience spanning multiple industries. Aurelijus spent four years at Exacaster, where they first worked as an Analytics Engineer and eventually became the Analytics Engineering Lead. At Exacaster, they focused on data analytics and engineering. Prior to that, they worked at Avon as a Marketing Data Analyst, where they handled sales reporting, performed in-depth analysis, and presented insights to internal stakeholders. Aurelijus also worked at Adform as a Data Platform Specialist, providing support for data platforms and API integrations. Before that, they served as a Digital Marketing Manager at Latitude Digital Marketing, overseeing PPC advertising campaigns and managing campaign quality reports. Aurelijus began their career as a Market Research Analyst intern at SIC, where they gained experience in qualitative and quantitative market research. Aurelijus also worked as a Scientific Researcher intern at Vilnius University, where they conducted data analysis and presented their findings in a scientific paper.
Aurelijus Stancikas completed their Bachelor's degree in Sociology from Vytauto Didžiojo universitetas. Aurelijus pursued their studies from 2010 to 2014.
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.