Exacaster
Vitas Černiauskas has a diverse work experience in various companies. Vitas began their career as a Data Analyst Intern at Invest Lithuania in 2018. In 2019, they joined CIVITTA as a Junior Analyst and later transitioned to the role of Analyst in 2020. Vitas then worked as an Analytics Project Manager at Exacaster from 2021 to 2023. Currently, they hold the position of Segment Manager (Commerce) at Smartproxy, starting in March 2023.
Vitas Černiauskas completed their Bachelor's degree in Business Management and Analytics from the ISM University of Management and Economics, between the years 2016 and 2020. Additionally, they participated in an Erasmus program at the University of Ljubljana, Faculty of Economics, from 2018 to 2019.
Before pursuing higher education, Vitas attended Vilniaus Mykolo Biržiškos gimnazija from 2012 to 2016, and prior to that, they attended the "Ąžuoliukas" muzikos mokykla, a music school, from 2004 to 2012.
In terms of additional certifications, Vitas obtained a certification in Data Analytics from Vilnius CODING School in March 2022. Vitas also completed the "Excel for Business: Intermediate" course offered by Macquarie University in December 2020 and the "Getting Started with Power BI Desktop" course from Coursera in August 2020.
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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.