Exacaster
Indre Slapsinskaite began their work experience in 2011 as an Analyst at the Lithuanian Statistic Department. Indre then moved on to work at Kesko Senukai Digital in 2016 as a Data Analyst, where they used BI tool Qlik Sense and the programming language R for data analysis and modeling. Indre also worked on creating reports and visualizations for various company requests. In 2018, they joined Exacaster as a Data Analyst, where they delivered meaningful business insights for customers using advanced analytics and Hadoop tools. Indre also configured campaign management processes and used tools such as SQL, Spark, Hadoop, Python, Jupyter Notebook, and Tableau.
Indre Slapsinskaite completed their Bachelor's degree in Science and Economics from Nantes Université in 2011. Later, from 2011 to 2013, they pursued their Master's degree in Statistics at Vilniaus universitetas / Vilnius University.
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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.