I build practical projects in Python focused on automation, data analysis, and machine learning.
Leveraging my bookkeeping knowledge (Level 2), I also focus on processing and analyzing accounting data with an understanding of data structures and business workflows.
Through projects such as Excel automation using pandas, accounting data processing, and Kaggle competitions, I develop solutions inspired by real-world problems.
- Python (pandas, scikit-learn)
- Data analysis / visualization
- Excel automation (business workflow optimization)
- Machine learning (tabular & image data)
- Titanic: Achieved 0.79 accuracy with feature engineering and model tuning
- Digit Recognizer: Achieved 0.99 accuracy using a CNN model
- Excel automation tool
→ Automated data aggregation and reporting using pandas
- Accounting data processing
→ Built tools to handle and analyze financial data
- Automate manual tasks using Python
- Analyze structured data and extract insights
- Build machine learning models for prediction tasks
- Writing cleaner and more maintainable code
- Improving model performance and feature engineering
- Building more practical, business-oriented projects
I aim to become a remote-friendly engineer who contributes through practical problem-solving and automation.