I was a Civil Engineer who transferred into the field of Computer Science and Engineering (Specifically, Data Science and Analytics, Data Engineering, Artificial Intelligence and Machine Learning Operations), bringing a unique perspective of large-scale systems thinking and analytical problem-solving to the world of data infrastructure. Strong foundation in machine learning and statistical analysis combined with background in transportation engineering.
- Python Libraries & Tools: Pandas, PySpark, NumPy, Matplotlib, seaborn, scikit-learn
- R Libraries: tidyverse, caret, gapminder, ggpubr, FSA, BSDA, DescTools
- Skillsets: Containerization, ETL Pipeline Development, Data Warehousing, Workflow Orchestration
- Docker
- MLflow, Evidently
- SQL: SQL Server, PostgreSQL, MySQL, SQLite
- Regression
- Classification
- Clustering (K-means, Affinity Propagation, Hierarchical Clustering)
- Project Mythus
- Thai
- English
- Email: s.jitsopak@gmail.com
- LinkedIn: sutiwas-jitsopak-frenzy
⚡ Currently advancing expertise through industry-recognized platforms, data engineering programs and will be pursuing for a master degree in the upcoming year.