Exacaster
Andrej Muchliado has a diverse work experience spanning multiple roles and industries. Andrej started their career at Lietuvos paštas, AB as a Data input operator from October 2015 to February 2018. Following that, they worked as a Student Intern at Swedbank Lietuvoje for three months in 2018. Andrej then joined The Citco Group of Companies as a Junior Accountant from July 2018 to April 2019. Subsequently, Andrej worked at UAB S2P as a Consultant from August 2019 to August 2021. In 2021, they worked briefly as a Data Engineer at Gjensidige Baltic from September to November. Currently, Andrej works at Exacaster, where they started as a Junior Data Analyst from December 2021 to August 2022 and now holds the position of Data Analyst since September 2022.
Andrej Muchliado completed a Bachelor's degree in Accounting from Mykolas Romeris University from 2015 to 2019. In 2019, they also attended the Baltic Institute of Technology for a short period and gained knowledge in the field of Data Analytics. Additionally, they obtained several certifications, including "SQL for Data Science" from Coursera and "The Data Science Course 2020: Complete Data Science Bootcamp" from 365 Careers. Andrej also holds certifications from IBM, specifically in "IBM Planning Analytics V2.0.0 Analyst" and "IBM Planning Analytics V2.0.0 Modeler," though the exact dates of obtaining these certifications are not specified.
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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.