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👋 Hey there! I'm Dominik Vukelic, a Telematics graduate with a Bachelor's Degree hailing from Croatia, currently immersed in the world of data analysis.

💻 I'm honing my skills in ETL (Extract, Transform, Load) processes, data cleaning, and diving deep into databases and data management. My goal is to leverage data for insights and innovation through advanced analytics and visualization techniques. I specialize in cleaning and preprocessing data to ensure accuracy and reliability, transforming complex datasets into insightful visualizations that drive understanding and decision-making.

🧰 Toolbox:

  • Languages:
    • Python
    • R
  • Tools:
    • VS Code
    • R Studio
    • SQL Server Management Studio (SSMS)
    • MySQL Workbench
  • Databases: SQL

🎶 Hobbies:

  • Making Music
  • Reading
  • Training

📫 Let's connect and chat about all things data! Feel free to reach out for discussions on databases, data analysis, visualization, or just to swap music recommendations.

Dominik Vukelić's Projects

airbnb_ny_project icon airbnb_ny_project

This project centers around the ETL (Extract, Transform, Load) process and visualization of the NYC Airbnb dataset, obtained from Kaggle. The dataset encompasses a rich collection of information related to Airbnb listings in New York City, covering aspects such as property details, pricing, location, and host characteristics.

drug_performance_evaluation icon drug_performance_evaluation

This repository is dedicated to the Extract, Transform, Load (ETL) process and visualization of drug performance based on the Drug Performance Evaluation dataset obtained from Kaggle. The dataset contains comprehensive information about various drugs, including their conditions, indications, types, and customer reviews.

electric_vehicles_project icon electric_vehicles_project

This project is dedicated to the analysis and processing of data related to electric vehicles. It involves thorough examination, cleaning, and visualization of the dataset to extract valuable insights. The primary focus is on understanding trends in electric vehicle usage and characteristics.

fifa_21_dataset_cleaning icon fifa_21_dataset_cleaning

This project is dedicated to the meticulous cleaning and insightful analysis of the FIFA 21 dataset, originating from Kaggle. As an enthusiast of soccer statistics and data-driven insights, I embarked on this journey to refine the dataset, unravel hidden patterns, and present visualizations that showcase the nuances of player attributes in FIFA 21.

hotel_bookings_dataset_project icon hotel_bookings_dataset_project

This collection of scripts and datasets is designed to provide a thorough exploration of hotel bookings data. Whether you're an enthusiast, a researcher, or a data scientist, this repository offers valuable insights into the world of hotel management, cancellations, guest demographics, and stay durations.

police_dataset_project icon police_dataset_project

This repository is a collection of Jupyter Notebooks featuring data analysis, cleaning, CSV exports, SQL files, and a database diagram image related to police datasets. Explore various data analysis and manipulation techniques used to handle police-related datasets.

space_mission_launches icon space_mission_launches

Welcome to the Space Mission Launches dataset repository! This project focuses on cleaning and analyzing the Space Mission Launches dataset obtained from Kaggle. The dataset contains information about space mission launches, including details about companies, costs, locations, and activity statuses.

used_cars_dataset_cleaning icon used_cars_dataset_cleaning

This repository serves as a comprehensive resource for individuals interested in exploring the intricacies of cleaning and analyzing used cars datasets. By delving into the provided scripts and datasets, users can gain valuable insights into the world of used cars and understand the methodologies employed to ensure data accuracy and reliability.

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