Developer transitioning into Data Science
I am a developer with experience in web development, Python automation, and systems analysis.
I am currently redirecting my career toward Data Science, focusing on statistical analysis, predictive modeling, and applying data to real-world business problems.
My background in software development allows me to combine solid engineering practices with structured and applied data analysis.
- Angular
- .NET Core
- PHP
- Python
- SQL
- Pandas
- NumPy
- Matplotlib / Seaborn
- Scikit-learn
- Applied Statistics
- Exploratory Data Analysis (EDA)
2026
- Beginning formal education in Data Science
- Practical projects using public datasets
- Structured study of statistics and machine learning
- Building a portfolio focused on real-world problems
Goal:
To become a Data Scientist with a strong technical foundation and a strategic business mindset.
- (in progress)
- Logistics management system
- Python automation tools
- Full-stack web applications

