Вадим

Vadym Katsel
Software Engineering Student

Contacts

 [открыть контакты](см. выше в блоке «контактная информация») |  [открыть контакты](см. выше в блоке «контактная информация») |  vkatsel |  Linked In |  02000 Kyiv, Ukraine

 Education  Tools
Undergraduate education (2024 - 2028) Data Manipulations: SQL R
Kyiv School of Economics Quarto DuckDB
Bachelor of Software Engineering and Business Analysis with 3.7/4.0
GPA Programming Languages: Python
C# Bash
Online Courses: Report Writing Made Simple; Presentation Skills: Give
a Great New Business Pitch
Tools: Git GitHub VS Code
JetBrains IDEs
 Experience
Teacher Assistant (OCT 2025 - NOW)  Languages
Kyiv School of Economics Ukrainian - Native
- Conducted practice sessions and mentored groups of 25+ students in English - Advanced
Python programming. Spanish - Upper Intermediate
- Provided regular code reviews and technical feedback on students’
assignments.
- Prepared technical materials and guides for practice sessions
- Improved course workflow by designing and implementing a
courseware website using Quarto, HTML, and CSS.

 Projects
NYC Urban Mobility & Spatial Analysis (OCT 2025) Stack: R DuckDB Tidyverse sf Plotly

Collaborated in team of 3 to process and merge large-scale NYC Taxi Trip Records and MTA Daily Ridership data
using DuckDB for efficient data handling.
Conducted comparative analysis of urban mobility to evaluate taxi usage against subway and bus transit across
different days of the week.
Designed interactive geospatial visualizations, including a density map of taxi drop-offs overlaid with subway
routes using geom_sf and ggplotly.

See the website to find out more

NYC Taxi Rhythm Analysis (OCT 2025)

Stack: R DuckDB Tidyverse Quarto

Processed and analyzed large-scale NYC Taxi Trip Record Data in Parquet format, utilizing DuckDB for efficient
data handling.
Developed data transformation pipelines using R (Tidyverse) to calculate and aggregate trip volumes, average
fares, and tip rates across varying timeframes.
 Designed insightful data visualizations with ggplot2 to highlight daily commuting rhythms, weekend shifts, and
dynamic tipping behaviors.

See the website to find out more

Try-Catch Scooters DB (JUL 2025)

Stack: SQL GitHub

Designed a relational database schema for an urban scooter rental service, documenting data models via ERD
Implemented tables, relationships, and constraints to ensure strict data integrity
Generated and populated the database with 500,000+ rows of mock data to test query performance