Gan-Od (Gwen) Bayarbaatar

Gan-Od (Gwen) Bayarbaatar has a diverse work experience. Gan-Od (Gwen) started their career as a Volunteer Worker at the Mongolian Red Cross Society, where they managed special events, demonstrated first aid performances, and formulated public information program policies. Gan-Od (Gwen) then worked as a Supervisor at the Court of Sciences Student Center, where they trained new staff, maintained the kitchen, and handled large amounts of money.

After that, Gwen worked as a Research Assistant at the NANOTECHNOLOGY LAB AT NUM, where they synthesized and characterized Zinc Oxide Nanoparticles and Nanorods, and analyzed research papers on nanoparticle synthesis. Gan-Od (Gwen) then joined ASUCLA Human Resources as a Human Resources Representative, where they organized paperwork, handled payroll and benefits, and processed employment documents.

Gwen then transitioned to the field of data science. Gan-Od (Gwen) worked as a Data Science Researcher at InnoArchiTech, where they analyzed research papers on AI and Machine Learning applications and documented AI usage in different industries. Gan-Od (Gwen) also worked as a Data Analyst at the University of Washington, where they built machine learning models to understand environmental data and performed data wrangling and visualization tasks.

Currently, Gwen is working as a Data Scientist/Analyst at Plunk. Gan-Od (Gwen)'sresponsibilities include training and validating DNN models, creating nationwide models, and developing datasets to support the models. Gan-Od (Gwen) uses various tools such as Python, SQL, Tableau, and AWS S3 to perform their tasks.

Gan-Od (Gwen) Bayarbaatar completed their Middle School Diploma at the 23rd School of Foreign Languages from 2004 to 2011. Gan-Od (Gwen) then pursued further education and obtained their High School Diploma from the Hobby School of Ulaanbaatar, spanning from 2011 to 2014. Gwen continued their academic journey at UCLA, where they obtained a Bachelor's degree in Physics from 2015 to 2019.