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Presentation

C# / Python Developer | Data Science & Data Processing
Skills:
Programming Languages: C# (.NET Core, LINQ), Python, SQL.
Databases: SQLite (database design, complex queries, optimization, ADO.NET).
Data Processing: JSON serialization/deserialization, parsing and processing large datasets (Data Science), time series analysis.
Algorithms: OOP, multithreading, performance optimization.
Operating Systems: Linux (Arch, Ubuntu) — cross-platform development, environment setup, terminal, bash scripting.
API: Experience with external REST API integration.
Experience (one of my projects):
C# Data Analysis System Developer (Pet Project)
Developed a cross-platform C# application for collecting, processing, and analyzing large datasets.
Designed an SQLite database structure for efficient data storage and fast access.
Implemented a module for external API integration (real-time data fetching, JSON parsing).
Built statistical data analysis algorithms (Data Science) and used multithreading to speed up computations.
Worked with matrix and numerical computing libraries.
The application is designed to run seamlessly on both Windows and Linux (Arch/Ubuntu).
The project consists of 4000+ lines of code, including logging and error handling systems.
About Me:
Passionate about Data Science and programming. Quick learner, able to understand existing code and documentation. Experienced with Linux and cross-platform development. Responsible and committed to meeting deadlines. Looking for professional growth opportunities and ready to take on interesting challenges.

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