DSLab WNE UW

Who we are?

Meet our team!

We are characterized by diversity, creativity and willingness to share knowledge. Each of us has different professional experiences, interests, goals in personal development. However, what connects us all is a common passion – Data Science.

Sounds interesting? Would you like to meet us? Or maybe you have a challenge for us? You are welcome!

We try to keep up to date with all the news from the world of Machine Learning, Artificial Intelligence, Big Data and their practical applications. We have experience in applying Data Science methods on many levels, in various industries and on various projects, so we are a very versatile team.

Piotr Wójcik

Piotr Wójcik

Founder, Head of Data Science Research Teams

Assistant Professor at the Faculty of Economic Sciences of the University of Warsaw. An expert in the use of R and SAS software for effective data processing and advanced statistical / econometric modeling. A graduate of WNE UW and Katholieke Universiteit Leuven (Belgium).

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Has many years of professional experience of a quantitative analyst in the financial, telecommunications and marketing research industries. In addition, he is distinguished by many years of didactic experience, both academic and commercial.

He is the author and co-creator of many academic courses, as well as practical workshop trainings for numerous companies and public sector institutions, in fields directly related to Data Science: advanced programming in R and SAS, statistics, econometrics and machine learning.

Author, head and lecturer at postgraduate studies “Statistical methods in business. Workshops with SAS software “ (since 2008) and post-graduate studies “Data Science in business applications. Workshops using the R program (from 2017).

He is scientifically involved in analyzes of regional convergence and inequality, and quantitative finance. In addition, he is the contractor and manager of research projects financed by the European Commission, the National Science Center and the Ministry of Regional Development.

Author of numerous scientific publications using various tools for quantitative data analysis, including a co-author of a textbook on the R program (“Quantitative Methods in R. Economic and Financial Applications”). In his free time he likes to travel without rush, read to himself and children and fold rhymes. He still believes that he will find time to learn new languages.

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Ewelina Osowska

Ewelina Osowska

Researcher, Data Scientist

A student of the Faculty of Economic Sciences of the University of Warsaw in the field of Computer Science and Econometrics, specialization: Data Science. A graduate of undergraduate studies in the field of Interdisciplinary Economic and Managerial Studies.

He has professional experience in the validation of credit risk models.

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Her scientific interests include statistical and econometric analysis, time series analysis, natural language processing as well as machine learning and neural networks.

He is currently conducting research for a master’s thesis on the impact of event arbitrage strategy on predicting the behavior of financial markets based on high frequency data.

 

During her undergraduate studies, for two years she was the President of the Management Board of the Scientific Group of Economic Strategy of the University of Warsaw.

In her free time he likes cycling and mountain trips.

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Kornel Krysiak

Kornel Krysiak

Marketing, PR & Social Media Manager, Data Scientist

A student of the Faculty of Economic Sciences of the University of Warsaw in the field of Data Science. A graduate of the Double Diploma Program (a.k.a. Double Degree) implemented in cooperation with Chonnam National University (South Korea) for the best Management students.

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Employee of the Credit Information Bureau in the Business Intelligence Department, in the credit risk modeling team.

Professional interests include primarily: Consulting, Data Science (in A.I applications), R&D, Marketing, Computer Graphics and Project Management.

Experienced in working on the organization of events, planning marketing strategies, as well as in a multicultural environment. He speaks English fluently, and on the intermediate level, Russian.

Personal development in areas not directly related to work or studies, he mainly focuses on effective communication, presentation, negotiation, self-presentation and personal branding skills.

His hobbies are playing the piano, ballroom dancing and cinematography.

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Bartek Wieczorek

Bartek Wieczorek

Researcher, Data Scientist

A student of Data Science at the Faculty of Economic Sciences of the University of Warsaw. A graduate of the Faculty of Mathematics, Computer Science and Mechanics of the University of Warsaw in Mathematics and undergraduate studies at the Faculty of Economic Sciences of the University of Warsaw, specialization in Computer Science and Econometrics.

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Professionally quantitative analyst in a company from the Insurance industry. Every day experienced in working with Python, R and SAS. His scientific interests include primarily statistics, in particular various types of regressions (dorsal, Lasso, Elastic Net), as well as spatial models and optimization.

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Michał Szałański

Michał Szałański

IT & WebDev Manager, Data Scientist

A student of Data Science at the Faculty of Economic Sciences of the University of Warsaw. He graduated with honors from undergraduate studies in Finance, Accounting and Insurance at the Faculty of Management at the University of Warsaw.

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Professionally freelancer, serving companies in the field of Online Advertising & Web Development. Winner of the Rector’s scholarship for the best students throughout their studies.

Has extensive experience in developing websites based on the WordPress CMS system. During his professional career, he was responsible for campaigns in Google Ads and Facebook Ads with a total value exceeding PLN 100,000. He works for the Whirlpool Culinary Academy, the Italian Chamber of Commerce and Industry in Poland and for the Italian Tourism Agency ENIT. Experiments with the implementation of Machine Learning methods to optimize advertising campaigns.

His main scientific interests are neural networks and web scraping.

He is interested in battle games, RPG sessions and interior photography.

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Tomek Koc

Tomek Koc

Researcher, Data Scientist

First degree student of Computer Science and Econometrics at the Faculty of Economic Sciences of the University of Warsaw. He takes his first steps in the world of data analysis and data science. Machine Learning enthusiast, Neural Networks and Unsupervised Learning.

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The programming language R uses mainly for statistical purposes, while trying to deepen his knowledge of the applications of Machine Learning in Python. He likes stories – a huge fan of Józef Hen, as well as reportage by Svetlana Aleksijewicz and electronic music (vaporwave).

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Hubert Śmieciuch

Hubert Śmieciuch

Researcher, Data Scientist

A student of Master’s studies at the University of Warsaw in the field of Data Science and a graduate of Economics at the University of Economics in Poznań at the bachelor level.

Has several years of experience working in an outsourcing company in Budapest, in a financial project related to revenues.

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The main scientific interests are spatial economics, econometrics and modeling in R and Python.

In his spare time he is an enthusiast of cycling trips and learning foreign languages.

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Kasia Kryńska

Kasia Kryńska

Researcher, Data Scientist

Student at the Faculty of Economic Sciences of the University of Warsaw in the field of Computer Science and Econometrics: Data Science. A graduate of the Faculty of Economic Sciences of the University of Warsaw in the field of Computer Science and Econometrics. Her BA thesis concerned volatility forecasting on the cryptocurrency market.

Professionally, she is a junior market risk analyst at Union Investments.

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In her work she mainly use Matlab, VBA and SQL, although she is also familiar with Python and R programming languages.

In 2018 she took 1st place in the group International Rotman European Trading Competition. In February 2019. In addition, she represented the University of Warsaw in the global edition of this competition, in Toronto.

Her professional interests include risk, finance, trading and data science. She speaks fluent English, also knows German and Dutch at a basic level.

She devotes her free time to learning Dutch, piano and sports.

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Kuba Ajchel

Kuba Ajchel

Researcher, Data Scientist

Data Science student at the Faculty of Economic Sciences of the University of Warsaw. A graduate of the Faculty of Electronics and Information Technology of the Warsaw University of Technology with an engineering degree. Title of his engineering thesis: “Detection of drones in the video stream”.

Has professional experience as an SQL programmer.

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In addition, he was a participant in the Young Talent Academy organized by SAS.
Currently, he works as a data analyst at PwC in the Risk Assurance Services Data department. In his daily work he uses programming languages such as Python, R and SQL, as well as tools for data visualization such as PowerBI and Qlik Sense and UiPath, used for process automation.

Has experience in operating in a student organization. He was the coordinator of the partnership department at SKN IT Consulting operating at the Warsaw University of Technology, and also coordinated the organization of the data science path as part of the Lead in IT management program.

In his free time he deals with home brewing (he has a commercial sale of beer according to his own recipe), and windsurfing.

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Krystian Andruszek

Krystian Andruszek

Researcher, Data Scientist

A student of Data Science at the Faculty of Economic Sciences of the University of Warsaw and a bachelor’s degree in Computer Science and Econometrics.

Currently working as a Data Scientist in banking, also has experience in the area of credit risk and finance.

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At work, he mainly uses technologies such as Hadoop, Python, Spark, SQL. Mainly involved in building Machine learning and Deep learning models and finding answers based on data. Interested in natural language processing and image recognition. In his free time he likes to run and travel.

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Ewa Sobolewska

Ewa Sobolewska

Researcher, Data Scientist

Student of Master’s degree in the direction of Data Science at the Faculty of Economic Sciences UW and graduate of the Inter-directional economic and managerial studies UW.

He has a professional experience as a business analyst in the Internal IT departments of banking and software development company.

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She constantly broaden her knowledge, both in the context of scientific interests and in everyday life. Knows Python and R programming languages and Linux environment. As part of his thesis, she explores the subjects of image recognition techniques as well as analysis of spatial data, machine learning and deep learning methods. In addition, she is interested in the use of artificial intelligence for socially useful purposes. During her free time walks with his shepherd, doing analog shots and experimenting in the kitchen.

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Do you like our projects? Do you have idea for your own project?

Office

Długa 44/50, 00-241 Warsaw, Poland

Hours

Mon-Fri: 9.00-17.00
Sat-Sun: Closed

Contact

Dr Piotr Wojcik