Fong NGO

Fong Ngo has a diverse range of work experience. Starting in 2009, they worked as a Clerk at the Administration of the Commercial Court. In 2011, they served as a Research Intern at CNRS - Signal Processing and Machine Learning Lab (SIGMA). The following year, they worked as a Research Intern at Inria - team Aramis. In 2013, Fong joined Schlumberger as a Research Intern, where they worked on image processing for an imaging drilling tool. In 2015, they were a Research Intern at Dassault Systèmes, focusing on designing an image classifier using machine learning models. In 2016, Fong worked as an Automation Engineer at FABERNOVEL DATA & MEDIA, where they automated keyword ad campaigns and processed webmarketing data. From 2018 to 2021, they served as a Python Developer at Budget Insight, retrieving end-user data through website scraping. Currently, they are employed as a Python Developer at PayPlug.

Fong Ngo pursued their education in a chronological manner. In 2009, they enrolled at Université Paris-Est Créteil (UPEC) and completed their studies in 2012, obtaining an Engineer's degree. Fong'sfield of study during this period was focused on Bioengineering and Biomedical Engineering.

In 2012, they continued their educational journey at Université Paris-Saclay, where they pursued a Master of Science (MSc) degree. This program lasted for a year, and their area of specialization was Applied Mathematics.

Following this, in 2014, Fong Ngo once again attended Université Paris-Saclay to further enhance their knowledge and skills. Fong completed a Master of Science (MSc) degree in the field of Data Science in 2015.

Based on the provided information, Fong Ngo's educational path demonstrates a progression from an undergraduate degree in Bioengineering and Biomedical Engineering to pursuing specialized knowledge in Applied Mathematics and Data Science through their two Master's degrees.