Vittunyuta Maeprasart is a seasoned data analyst with nine years of experience applying big data, database management, and machine learning techniques to real-world financial and web platforms. Currently at Siam Commercial Bank, she builds scalable ETL pipelines and interactive Databricks/Tableau dashboards to monitor product performance, model stability (GINI, CSI, PSI), and NPL risk across millions of records. Her academic research at Nara Institute of Science and Technology complements hands-on work, having processed large JSON datasets and studied software ecosystem dependencies using Python and DataFrame workflows. Past roles span image-model evaluation at SenseTime, deep-learning optimization in a German lab, and MongoDB-backed analytics for Pantip.com, showing a blend of applied ML and NoSQL expertise. Known for turning statistical analysis into actionable product recommendations, she thrives in collaborative, iterative environments and seeks continuous learning through new technical challenges.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Information Technology, Master's degree, Information Technology at Nara Institute of Science and Technology
Bachelor's degree, Computer Software Engineering, 3.82, Bachelor's degree, Computer Software Engineering, 3.82 at Kasetsart University
Bachelor's Degree Thesis (2020), developed a trip advisory website which applied text classification techniques especially Naive Bayes algorithm (Thai language).
Contributions:69 pushes, 1 branch in 2 years 10 months
Contributions:2 pushes, 1 issue in 3 years 7 months
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