プロフィール詳細

プロジェクトを作成

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Valeria C.に依頼

Finland

Versatile Data Scientist |R, Shiny, Power BI, Python, SQL

プロフィール概要

Having two years of experience in data analysis and data science I became a proficient R user, developer of the Shiny app, able to conduct machine learning projects. I have skills in creating Shiny and Power BI dashboards, running queries with SQL, and analysing data with Python. Being a fast and independent learner I'm curious about new challenges and open to project opportunities to master my skills and bring valuable insights to the projects.

専門分野

• ☆ Data Analysis
• ☆ Machine Learning
• ☆ Python
• ☆ SQL
• ☆ R

サービス

• Data & AI

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

職務経験

Data Scientist

CSC - IT Center for Science

10月 2021 - 現在

University of Helsinki

- 9月 2022

学歴

University of Helsinki

- 9月 2022

Master's Degree in Social Sciences

University of Helsinki

9月 2019 - 5月 2021

認定資格

• Data Scientist With Python

  DataCamp

  https://www.datacamp.com/statement-of-accomplishment/track/d80ff562d374856dce7fbac77c13f18edad6f9ff

  8月 2022 - 現在

• Data Analyst with Python

  DataCamp

  https://www.datacamp.com/statement-of-accomplishment/track/91ce292428f7444553572f382a009e2844664f21

  8月 2022 - 現在

• Data Scientist with R

  DataCamp

  https://www.datacamp.com/statement-of-accomplishment/track/af5aaf88d83fbc314638825acad5142ab6e7dab3

  9月 2020 - 現在

出版物

OTHER

A new cross-regional dataset on media and electoral malpractice is released! @misc{862c4edf4ee34f8a92b47a1c156bae0b, title = "A new cross-regional dataset on media and electoral malpractice is released!", keywords = "5171 Political Science", author = "Elena Gorbacheva and Margarita Zavadskaya and Caras, {Valeria Stefania}", year = "2022", month = feb, day = "4", language = "English", type = "Other", } .

Valeria Stefania Caras(2021). How unemployment and perceptions of the economy affect political trust in times of the Corona crisis? .

Trust in governments during the COVID-19 pandemic: attributing responsibility and revealing the determinants @phdthesis{9e12b04cc1234b1db226e6639a5257fa, title = "Trust in governments during the COVID-19 pandemic: attributing responsibility and revealing the determinants", abstract = "This research aims to reveal factors that impact the formation of trust in governments during the COVID-19 pandemic from a comparative cross-EU perspective. The formation of trust in pandemic times is ambiguous because national executives are supposed to combat the virus and can be both rewarded and punished for their actions as well as for the economic consequences of the lockdowns. Theoretically, the thesis fills the gap between the economic voting bulk of literature and research on trust formation in crisis times.The study is based on the “Living, working and COVID-19 dataset” survey conducted by Eurofound agency in spring and summer 2020. The results of the multilevel regression analysis contribute to the field with the significant impact of the clarity of governmental responsibility and losing a job interaction on trust. The applied method allows combining country-level and individual-level data, revealing a higher variance among respondents than EU member states.The interaction indicates that most citizens appreciate cohesive governments in crisis times, which contradicts economic voting literature{\textquoteright}s argument that trust is lower in less polarized systems where people have a clearer understanding of assigning blame for policies. However, the respondents who lost the job permanently when the pandemic escalated blame united governments establishing a better link between personal welfare and governmental action. The discrepancy between unemployed and employed is more minor in more polarized and less cohesive systems, which blur responsibility. In general, such factors as losing a job during the pandemic, either permanently or temporarily, feeling job insecurity, and expecting personal finances to worsen - negatively influence the trust in governments.", keywords = "5171 Political Science, clarity of responsibility, COVID-19, trust in governments, employment, multi-level analysis", author = "Caras, {Valeria Stefania}", year = "2021", language = "English", } .

Blaming the government in the times of pandemic: Effects of unemployment in the EU @misc{0f2074b6704b41459fb485ec3f32136c, title = "Blaming the government in the times of pandemic: Effects of unemployment in the EU", abstract = "The COVID-19 pandemic reinforces the primary function of any government to produce corresponding policies. Despite managing day-to-day administration, executives now should handle the Corona crisis, lockdowns, border closure, and vaccination campaigns. The pandemic context created a window of opportunity for some national executives to exercise extra power and, in certain cases, violate democratic standards (L{\"u}hrmann, Edgell, and Maerz 2020). Considering this trend, the question is how citizens hold governments accountable for the economic consequences of the current crisis? The blog analyzes the relationships between governmental trust and economic indicators in the pandemic context in the previous post. In this text, a mediator in this causal mechanism is added. As such, the impact of unemployment on trust levels is determined by the clarity of governmental responsibility – an indicator measuring how much control the cabinets exercise. ", keywords = "5171 Political Science", author = "Caras, {Valeria Stefania}", year = "2021", language = "English", type = "Other", } .

JOURNAL ARTICLE

Quality of governance in the Eastern Partnership countries @article{55765c9953914a3da237db6e6e5222ad, title = "Quality of governance in the Eastern Partnership countries: the role of the EU, Russia and domestic conditions", abstract = "This work is devoted to studying the quality of governance in the Eastern Partnership countries - a project of the European Union, which includes Azerbaijan, Armenia, Belarus, Georgia, Moldova and Ukraine. We aim to understand how external and domestic conditions influence the quality of governance in this area by applying the QCA method and regression analysis. We reveal a significant influence of the EU even though many authors doubt the EU's ability to influence countries beyond its borders that are not offered the membership. We also show that, in this case, the influence of Russia as another external actor does not contradict the influence of the EU on governance but can overlap in other sectors, an aspect which should be investigated in further research. The level of GDP, the democratic regime, the polarization of elites, ethnic fractionation and reserves of resources are significant domestic conditions for the quality of governance.", keywords = "Eastern Partnership, European Neighborhood, European Union, quality of governance, linkage and leverage, EXTERNAL GOVERNANCE, RULES, 5171 Political Science", author = "Caras, {Valeria Stefania}", year = "2020", month = nov, language = "English", volume = "11", pages = "99--119", journal = "Eastern journal of european studies", issn = "2068-651X", publisher = "Editura Universit{\u a}{\c t}ii {"}Al.I. Cuza{"}", number = "Special issue", } . Eastern journal of european studies.