I approach software engineering like mathematics: structured, logical, and scalable. Focused on building software with strong foundations, with a deep interest in Artificial Intelligence and Data Analysis.
- 🎓 Focus: Mastering Computer Science fundamentals and Data-driven systems.
- 🏢 Currently: Data Analysis Trainee at Eva Pharma, working on real-world data processing.
- 🛠️ Learning: Deepening my expertise in C++, Python, and Java to build high-performance applications.
- 🏆 Hackathon Enthusiast: Passionate about solving complex problems under pressure and collaborating in competitive environments.
| Domain | Tools & Concepts |
|---|---|
| Languages | Python, Java, C++ |
| Core CS | Data Structures & Algorithms, Object-Oriented Programming (OOP) |
| Problem Solving | Logical Thinking, Algorithm Design, Competitive Programming |
| Category | Tools |
|---|---|
| Data Analysis | Pandas, NumPy, Data Handling & Processing |
| Tools | Git & GitHub, Microsoft Excel (Basic), PowerBI (Basic) |
- Data Analysis Internship @ Eva Pharma: Analyzing complex datasets to extract meaningful insights.
- Problem Solving & Hackathons: Actively participating in coding competitions and hackathons to build innovative solutions.
- Theory to Practice: Turning mathematical logic into clean, maintainable code.
- Strong Foundations: Deeply understanding how things work under the hood.
- Consistency > Motivation: Disciplined learning and continuous improvement.
- Clean Code: Writing code that is as logical and elegant as a mathematical proof.
- Hackathons: Participant in various competitive programming events and innovation challenges.
- Future Goals: Contributing to meaningful open-source projects and building AI-powered systems.
