Oleksandr Shymanskyi

Data Scientist Business Intelligence & Analytics

Talento

Barcelona, Barcelona42 EUR/horaMiembro desde 27 de abril de 2025

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Sobre mí

I am a data analyst and researcher with expertise in data-driven decision-making, explanatory and predictive modeling. With a strong background in quantitative and qualitative analysis, I have worked on end-to-end data projects, from data acquisition and transformation to visualization and statistical modeling. My experience spans across corporate strategy, sustainability analytics, and market research, leveraging tools such as R, Python, SQL, and econometric modeling to extract actionable insights.

I have also worked in international organizations, collaborating with stakeholders to develop projects and optimize operations. My ability to think strategically and uncover patterns in complex datasets allows businesses to make informed decisions and drive growth.

Experiencia

Postdoctoral researcher | University of Ottawa| Ottawa, Canada

Investigated the influence of sustainable stakeholder interactions on corporate sustainability in the construction industry through quantitative and qualitative research methods;
Presented research at ASAC, where the project was accepted as a conference paper; also accepted as a conference paper for the upcoming AOM conference;
Directed methodological aspects of the research, including content analysis, coding scheme for sustainable stakeholder interactions, constructing stakeholder networks and applying linear regression to assess sustainability outcomes;
Supervised graduate students, teaching them the coding scheme and guiding content analysis for sustainable interactions;
Leveraged Bloomberg Terminal, Refinitiv and Compustat to obtain key variables for modeling, gaining expertise in database usage and resolving challenges in data acquisition;

Postdoctoral researcher | Southwest University of Finance and Economics| Chengdu, China

Led five research projects in tourism demand modeling, utilizing advanced quantitative methodologies to explain global tourism flows;
Published in a peer-reviewed journal and presented at the 2022 International Academic Conference of Bay of Bengal States;
Directed the entire research process, including data collection, cleaning, transformation, visualization, quantitative analysis and preparation of academic papers, using data from UNWTO and World Bank;
Participated in key university projects investigating trade networks, and cross-border tourism under the Belt and Road Initiative;
Delivered occasional guest lectures on Ukrainian economy and heritage in a cross-cultural academic setting;