Hello, I’m Raimonda.

Data Analyst with a passion to Data Engineering &
Data Science.

Versatile Data Analyst with experience interpreting and analyzing data. Excellent understanding and proficiency of platforms for effective data analyses, including SQL, Excel, Power BI and Tableau, R and Python. Strong communication, organizational and analytical skills.

Things I Like Do

I love helping others. But, when I am not making new template or building software, I enjoy time with my family and friends.
My area of focus is applying automated solutions to business. I enjoy learning, working with stakeholders, and making better decisions with data.

  • Write all the code
  • Keep things organise
  • Read books and stuff
  • Drink much coffee
  • Draw with brushes or code
  • Play chess

A Few Accomplishments

Cyclistic bike-share study with Python

This corresponds to the capstone project of the Google Data Analytics Certificate where I performed many real-world tasks as a data analyst. I chose Python as my working tool to follow the steps of a guided roadmap to complete the data analysis process: ask, prepare, process, analyze, share, and act.

Create a database using SQL Server script

This project aims to design and develop a database and implement selected structural elements of the system, taking into account the events of the business system, the information system, the application system, and their interconnection. The subject domain is the process of declaration of posted workers in a logistics company.

To achieve this goal, the following tasks were carried out:
- Designed a DB on MS SQL Server;
- Created DB populated with data;
- Implemented several triggers, procedures, and functions;
- Testing was performed.

Exported MS SQL Server database script:

Tableau Dashboards

Tableau Dashboards for a project on Word Happiness.

Stochastic simulation with R

The homework demonstrates the ability to describe common stochastic algorithms used in statistics, to understand the mathematical properties of common statistical algorithms, and to implement statistical algorithms using the high-level statistical programming language R.

Machine Learning Project

Future project.

Location

Vilnius, Lithuania

Phone

+370 670 95 165

Email

raimonda.uleviciene@yahoo.com

Social