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Tiam Moradi's work experience begins with Lose It! where they worked as a Data Science Intern from January 2021 to August 2021. In this role, they generated business rules to categorize customer care tickets and developed Natural Language Processing models to classify tickets for the correct agents. They achieved high accuracy, precision, recall, and F1-score.

Following this, Moradi worked as a Data Scientist at Lose It! from September 2021 to March 2023. They designed and developed a computer vision-based system for food logging using cameras. They also collaborated with marketing and business operations teams to analyze user data and improve user engagement.

Moradi's most recent role at Lose It! is as a Data Scientist II, which began in March 2023. The specific responsibilities and projects for this role are not provided in the information.

In addition to their experience at Lose It!, Moradi also worked as a Research Assistant at the Bioimaging Informatics Lab at Boston University School of Medicine from February 2020 to May 2020. They developed machine learning models to predict conversion to Alzheimer's Disease and built a hybrid classifier with high recall and precision scores.

Overall, Moradi has gained experience in data science, machine learning, natural language processing, and computer vision across their work at Lose It! and the Bioimaging Informatics Lab.

Tiam Moradi's education history begins in 2012 when they attended Glenbrook South High School. After graduating from high school in 2016, Tiam Moradi enrolled at Boston University and pursued a Bachelor of Arts degree in Computer Science until 2020. During their undergraduate years, in 2018, Tiam briefly studied at The University of Auckland, where they focused on Computer Science. After completing their bachelor's degree, Tiam Moradi continued their education at Boston University's Questrom School of Business, where they obtained a Master of Science degree in Business Analytics from 2020 to 2021. Tiam also has additional certifications, including a Deep Learning Specialization from Coursera obtained in July 2019 and participation in the Machine Learning Engineering Program at FourthBrain, although the specific completion dates are unknown.