Vladyslav Leshchuk

Hello, everyone! I am 23 years old and am completing my master's degree in Information Systems and Technologies. I am open to various projects and work.

I have experience in the full development cycle of information systems, data analysis, and building both web and desktop applications.

Programming Languages:
 Python, C#, Java, JavaScript, HTML, SQL, R (basic)

· Frameworks & Technologies:
 WinForms, Node.js, JSP/Servlets, Google Colab, Prophet, Pandas, Statsmodels, Git, MySQL

·  Tools:
 Visual Studio, VS Code, Jupyter Notebook, Navicat for MySQL, MySQL-Front

·  Areas of Expertise:

 • Desktop application development (C# / WinForms)

• Data analysis & forecasting (time series, regression modeling)

• Fullstack development with JavaScript / Node.js

• Information systems and database design

• Building predictive models in Python (Google Colab, ML libraries)

My Projects

📌 Information System for Tracking Non-Formal Education at NUWEE (Bachelor’s Thesis – 98/100)
 🧪 C#, Windows Forms, MS Access, Photoshop, Corel PHOTO-PAINT
 – Developed a fully functional information system to track students' non-formal education at NUWEE

– Carried out a complete system development lifecycle: domain analysis, conceptual and ER modeling (up to 3NF), architecture selection

– Built both frontend and backend using C# and WinForms; integrated MS Access as the database

– Implemented functionality for uploading certificate images, filtering indicators, generating reports and data visualizations

– Performed system testing and evaluated practical efficiency within the university setting

📌 Web App for Scheduling & Meeting Coordination in the New Ukrainian School
 🧪 JavaScript, Node.js, MySQL, Visual Studio Code
 – Developed a web-based application for registering and organizing meetings between students, teachers, and parents

– Implemented CRUD functionality for managing events and participants

– Designed a logical data model and created a MySQL database using Navicat and MySQL-Front

– Built the user interface and backend logic using JavaScript and Node.js

– Managed the entire development cycle from domain analysis to system implementation

📌 Forecasting Climate Indicators in Rivne Region
 🧪 Python, Google Colab, Prophet, Pandas, Statsmodels
 – Designed a predictive model for climate indicators using time series decomposition and regression

– Completed full data pipeline: collection, cleaning, decomposition, and model training

– Utilized Python libraries including pandas, matplotlib, statsmodels, Prophet, and google.colab.files

– Evaluated forecasting accuracy with appropriate metrics and provided practical usage recommendations