Pranav Govindu
Computer Science undergraduate focused on building strong fundamentals in software engineering and data-driven problem solving.
Interested in writing clean, maintainable code and developing analytical solutions grounded in solid computer science principles.
### Technical Interests
- Software Engineering
- Data Science & Applied Machine Learning
- Algorithms and Optimization
### Skills
Languages
- Python, Java, C/C++
Core Computer Science
- Data Structures & Algorithms
- Object-Oriented Programming
- Debugging and Code Analysis
Data & Machine Learning (Learning / Applied Basics)
- NumPy, pandas
- scikit-learn (introductory models, preprocessing)
- Exploratory data analysis
Tools
- Git, GitHub
- Linux/macOS
- Jupyter Notebook, VS Code
### What You’ll Find Here
- Academic and personal projects with clear structure and documentation
- Algorithmic problem-solving and experimentation
- Data analysis and learning-focused machine learning implementations
### Currently
- Deepening understanding of data science and machine learning fundamentals
- Strengthening frontend, backend and system-level programming skills
- Improving testing, documentation, and code quality
