I'm a data-driven IT professional with extensive hands-on experience in data processing, Excel (Pivot Tables), SQL, Tableau, Power BI, and Excel-based automation. I've delivered data loading and quality improvements across multiple departments, built web-applications, and supported university library systems. I enjoy turning complex data into clear, actionable insights and collaborating across teams. I actively pursue continuous learning in data analytics and BI through Udemy and other platforms. I thrive on challenging problems, love exploring new ideas and methods, and am eager to contribute to teams across Europe. I value practical results, reliability, and proactive communication, and I'm excited to grow in data analytics and BI roles.

Tomáš Vigaš

I'm a data-driven IT professional with extensive hands-on experience in data processing, Excel (Pivot Tables), SQL, Tableau, Power BI, and Excel-based automation. I've delivered data loading and quality improvements across multiple departments, built web-applications, and supported university library systems. I enjoy turning complex data into clear, actionable insights and collaborating across teams. I actively pursue continuous learning in data analytics and BI through Udemy and other platforms. I thrive on challenging problems, love exploring new ideas and methods, and am eager to contribute to teams across Europe. I value practical results, reliability, and proactive communication, and I'm excited to grow in data analytics and BI roles.

Available to hire

I’m a data-driven IT professional with extensive hands-on experience in data processing, Excel (Pivot Tables), SQL, Tableau, Power BI, and Excel-based automation. I’ve delivered data loading and quality improvements across multiple departments, built web-applications, and supported university library systems. I enjoy turning complex data into clear, actionable insights and collaborating across teams.

I actively pursue continuous learning in data analytics and BI through Udemy and other platforms. I thrive on challenging problems, love exploring new ideas and methods, and am eager to contribute to teams across Europe. I value practical results, reliability, and proactive communication, and I’m excited to grow in data analytics and BI roles.

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Language

Slovak
Fluent
English
Advanced
Czech
Fluent

Work Experience

Data-deployment specialist and web-application master administrator at IBM InternationalServices Center s.r.o
September 1, 2015 - May 31, 2024
As Data-deployment specialist, I successfully cooperated with different teams to extract, transform and analyse data, to create reports for sales executives using SQL, Excel (formulas, Pivot tables and Visual Basic), Power Query .

Education

Master's degree at The Faculty of Natural Science, Matej Bel University, Banská Bystrica, Slovakia
January 1, 1996 - January 1, 2002

Qualifications

Data Analytics Internship Program
February 17, 2025 - June 4, 2025
Advanced Excel, Statistics, Python Programming, Data Visualisation in Tableau, Data Querying with SQL

Industry Experience

Education, Software & Internet, Professional Services, Government
    paper Movie analysis from global and local perspective for RSVP Movies production company.
    The main goal of this presentation is to analyze the dataset of movie business data (imdb.com) for RSVP Movies production company based on the exact requirements from RSVP Movies. It provides deeper insights to the most important indicators of movies and actors during the monitored period of the years 2017-2019. dataanalytics sql
    paper Movie analysis from global and local perspective for RSVP Movies production company.
    The main goal of this presentation is to analyze the dataset of movie business data (imdb.com) for RSVP Movies production company based on the exact requirements from RSVP Movies. It provides deeper insights to the most important indicators of movies and actors during the monitored period of the years 2017-2019. SQL dataanalytics data_analytics
    paper E-COMMERCE SALES ANALYSIS AND DASHBOARD
    The main goal of this presentation is to analyse and visualise the sales performance of E-commerce business data and provide insights to enhance profitability and improve operational efficiency. It consists of these activities: Data Formatting and cleaning Average profit of each Product Category, region wise. Average sales of each Product, region wise. The top 3 highest performing product and the bottom 3 lowest performing products. Chart of the month-wise table and region-wise table on the Profit. The statistical analysis of the Sales and Profit data. Sales Dashboard, presenting all the visuals along with the data insights.

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