Elham Amini

Elham Amini is a Lecturer in the School of Information at the University of Michigan, specializing in data science and machine learning. She holds a Master of Science in Information with a Data Science track from the University of Michigan (2020-2021), an MBA from Alzahra University (2016-2018), and a Mechanical Engineering degree from Iran University of Science and Technology.

Her research interests span AI, Machine Learning, Information Visualization, Data Mining, and Natural Language Processing, with a strong focus on practical applications. Ameini has developed several notable projects including a vertical search engine for airplane crashes using Python and BM25 ranking, predictive models for ride-hailing trip pooling with 80% f-1 score, song lyrics generation with GPT-2, and 3D object detection for autonomous vehicles.

Her publications demonstrate expertise across multiple domains, with recent work focusing on search engine development, ride-sharing prediction, autonomous vehicle perception, and AI-generated content. She has developed end-to-end machine learning solutions including feature selection on high-dimensional datasets, model deployment using MLflow, and creating interactive visualizations.

As an educator, she brings real-world industry experience from her data science internship at UnitedHealth Group where she conducted uplift modeling to predict marketing campaign effectiveness. Her technical skills include Python, SQL, Machine Learning, Altair, Flask, HTML5, Web Scraping, Pandas, and NLP frameworks.