Emilija Puronaitė
Data Analyst / Data Scientist at Scorify- Claim this Profile
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Bio
Eligijus Bujokas
Emilija is a very hard working person and a future data science rockstar! While she only had worked with R, when I introduced and suggested trying out python and GIT she jumped to the opportunity and it is quite frightening how fast she is learning! Additionaly, it is always a pleasure to chat not only about algorithms but travelling and karate as well. Keep up the good spirits Emilija!
Eligijus Bujokas
Emilija is a very hard working person and a future data science rockstar! While she only had worked with R, when I introduced and suggested trying out python and GIT she jumped to the opportunity and it is quite frightening how fast she is learning! Additionaly, it is always a pleasure to chat not only about algorithms but travelling and karate as well. Keep up the good spirits Emilija!
Eligijus Bujokas
Emilija is a very hard working person and a future data science rockstar! While she only had worked with R, when I introduced and suggested trying out python and GIT she jumped to the opportunity and it is quite frightening how fast she is learning! Additionaly, it is always a pleasure to chat not only about algorithms but travelling and karate as well. Keep up the good spirits Emilija!
Eligijus Bujokas
Emilija is a very hard working person and a future data science rockstar! While she only had worked with R, when I introduced and suggested trying out python and GIT she jumped to the opportunity and it is quite frightening how fast she is learning! Additionaly, it is always a pleasure to chat not only about algorithms but travelling and karate as well. Keep up the good spirits Emilija!
Experience
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Scorify
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Lithuania
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Financial Services
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1 - 100 Employee
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Data Analyst / Data Scientist
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Oct 2020 - Present
Default modelling. Prepare and clean the data for modelling, data versioning, create and estimate models; Query data, create reports and provide insights about companies, sectors, etc. to the communication team; Web scraping data. Automate web scrapers in order to obtain data; Ad-hoc analysis; Experience working with: R, Python, Docker, GIT, Linux VMs, MLflow (setting it up in a server as well), DVC, credit risk modelling. Default modelling. Prepare and clean the data for modelling, data versioning, create and estimate models; Query data, create reports and provide insights about companies, sectors, etc. to the communication team; Web scraping data. Automate web scrapers in order to obtain data; Ad-hoc analysis; Experience working with: R, Python, Docker, GIT, Linux VMs, MLflow (setting it up in a server as well), DVC, credit risk modelling.
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Ermitažas
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Lithuania
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Retail
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1 - 100 Employee
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Analyst
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Jul 2020 - Oct 2020
Ermitažas is one of the biggest Lithuanian DIY retailers. I was an analyst for E-shop, Marketing and Sales teams. Made various predictions about sales and impact of discounts. Also created Power BI reports and provided insights for business decisions making. Ermitažas is one of the biggest Lithuanian DIY retailers. I was an analyst for E-shop, Marketing and Sales teams. Made various predictions about sales and impact of discounts. Also created Power BI reports and provided insights for business decisions making.
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Euromonitor International
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United Kingdom
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Market Research
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700 & Above Employee
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Data Science Intern
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Feb 2020 - Apr 2020
10 week internship working in Data Science team. Tasks mainly consisted of creating various reports, insights and applications for big data for VIA project. 10 week internship working in Data Science team. Tasks mainly consisted of creating various reports, insights and applications for big data for VIA project.
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Swedbank
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Sweden
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Financial Services
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700 & Above Employee
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Intern at Private clients department
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Jul 2019 - Aug 2019
Prepared various required presentations, had to gather a lot of information about competitors, their pricing. Learned a lot how huge companies (especially strictly regulated banks) work and how you have to take a lot of steps to see a small idea implemented. The most important thing is to make improvements and decisions which would improve clients' experience. Prepared various required presentations, had to gather a lot of information about competitors, their pricing. Learned a lot how huge companies (especially strictly regulated banks) work and how you have to take a lot of steps to see a small idea implemented. The most important thing is to make improvements and decisions which would improve clients' experience.
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Education
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2020 - 2023
Vilniaus universitetas
Master's degree, Econometrics -
2016 - 2020
Vilniaus universitetas / Vilnius University
Bachelor's degree, Econometrics
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