Pornwipa Nilbodee
About Pornwipa Nilbodee
Pornwipa Nilbodee is a Data Engineer with extensive technical skills in Python, Hadoop, SQL, and machine learning frameworks. She has a strong educational background in Statistics and Business Analytics, and has contributed significantly to projects in the banking sector.
Work at Apolitical
Currently, Pornwipa Nilbodee serves as a Data Engineer at Apolitical, a role she has held since 2021. In this position, she applies her extensive technical skills to support data-driven decision-making processes within the organization. Her work involves utilizing big data analytical tools and frameworks, contributing to the development of innovative solutions that enhance organizational efficiency.
Education and Expertise
Pornwipa Nilbodee holds a Bachelor of Science in Statistics from Chulalongkorn University, where she studied from 2013 to 2017. She further advanced her education by obtaining a Master of Science in Business Analytics from Alliance Manchester Business School, graduating with distinction in 2021. Her technical expertise includes proficiency in Python, SQL, Hadoop, and machine learning frameworks such as TensorFlow and Keras.
Professional Background
Prior to her current role, Pornwipa Nilbodee worked as a Data Scientist at Charoen Pokphand Group Co., Ltd. from 2018 to 2019, and at SCB – Siam Commercial Bank from 2019 to 2020. At Siam Commercial Bank, she led a significant project that designed and implemented a recommendation model for stock and fund purchasing, which notably increased the bank's income by over 10 million baht. Additionally, she gained experience as an IT Risk & Assurance Intern at EY in 2016.
Technical Skills and Tools
Pornwipa Nilbodee possesses a wide range of technical competencies essential for her role as a Data Engineer. She is skilled in setting up big data analytical tools, including Hadoop, BigQuery, and AWS. Her expertise in machine learning frameworks, particularly TensorFlow and Keras, complements her programming skills in Python and SQL, enabling her to develop and implement data-driven solutions effectively.