Marius Vadeika
Senior Data Scientist at Beyond- Claim this Profile
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English Full professional proficiency
Topline Score
Bio
Credentials
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Natural Language Processing Nanodegree
UdacityJul, 2020- Nov, 2024 -
Deployment of Machine Learning Models
UdemyMay, 2020- Nov, 2024 -
Data Analysis and Statistical Inference
DataCampApr, 2016- Nov, 2024 -
Big Data Foundations
IBMMar, 2016- Nov, 2024 -
Intro to Statistics with R: Introduction
DataCamp
Experience
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Beyond
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United Kingdom
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IT Services and IT Consulting
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1 - 100 Employee
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Senior Data Scientist
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Sep 2022 - Present
- Building a model for internet fiber network penetration- Making a POC dashboard of customer flow based on anonymized customer sensor data- Working on unsupervised customer intent scoring- Building customer awareness, engagement and conversion dashboard- Performing customer analysis in amusement and recreation activities field- Participating in internal hackathons for rapid prototyping
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Data Scientist
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Aug 2020 - Sep 2022
Supporting business with data extracts, sales analysis and modelling- Demand planning and forecasting- Creating PDF reports with Python for workshops in vehicle fleet industry- Promotion, sales, stock analysis and store segmentation in the retail industry
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Turing College
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Lithuania
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E-Learning Providers
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1 - 100 Employee
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Senior Team Lead
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Oct 2022 - Present
Mentoring students for Data Analytics and Data Sciences courses: consultations, project reviews and providing feedback. Mentoring students for Data Analytics and Data Sciences courses: consultations, project reviews and providing feedback.
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GeoPhy
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Netherlands
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Real Estate
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1 - 100 Employee
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Data Scientist
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Oct 2017 - Jun 2020
Machine learning practitioner. Using Python to model prices of real estate properties. - Searching for new data sources, formulating hypotheses - Cleaning data, EDA - Building prototype models, doing model validation and explainability - Gaining knowledge about real estate and appraisal domains Machine learning practitioner. Using Python to model prices of real estate properties. - Searching for new data sources, formulating hypotheses - Cleaning data, EDA - Building prototype models, doing model validation and explainability - Gaining knowledge about real estate and appraisal domains
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ALG logistika
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Transportation, Logistics, Supply Chain and Storage
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1 - 100 Employee
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Data Analyst
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Jun 2017 - Oct 2017
Using SAP to extract large data sets from the logistics warehouse and Excel to turn it into valuable information. Using SAP to extract large data sets from the logistics warehouse and Excel to turn it into valuable information.
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Visma
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Norway
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Software Development
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700 & Above Employee
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Business Intelligence Internship
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Feb 2017 - Mar 2017
Writing T-SQL queries in SQL Server Management Studio on large amounts of data; creating a data warehouse; using such tools like ETL, OLAP, SSRS; working in a team. Writing T-SQL queries in SQL Server Management Studio on large amounts of data; creating a data warehouse; using such tools like ETL, OLAP, SSRS; working in a team.
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UAB „Kesko Senukai Lithuania“
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Lithuania
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Retail
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300 - 400 Employee
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Market Analyst
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Sep 2015 - Jan 2017
Analysis of the opportunities and trends in the market and relating that to the results of the company. Analysis of the opportunities and trends in the market and relating that to the results of the company.
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Education
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2016 - 2018
Kaunas University of Technology
Master’s Degree, Big Data Analytics -
2011 - 2015
Vilnius Gediminas Technical University
Bachelor’s Degree, Applied Statistics and Econometrics
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