Ellie Gholami

Databricks

Qualified Data Scientist and Software Engineer with years of experience in deploying AI algorithms, computer vision, machine learning, and data processing pipelines. • High proficiency in Machine Learning, Data Processing, and developing AI-driven products to enable customers to view data and valuable insights. • Strong understanding of data science use cases that have a positive impact on users and the public. Developed AI solutions used for improving public safety and agricultural product quality. • Extensive experience in developing machine learning and deep learning models for extracting information and features from massive tabular and imaging data to solve real-world problems. • Substantial experience in both industry and academic research in Data Science. Worked in the Data-Intensive Astronomy section at The University of Western Australia. • Managed the design and development of software architectures, such as the detection and tracking of bodies, vehicles, and faces. • Experienced in creating pipelines and develop software to gather and label new image data as a training/testing dataset to finetune the current neural networks. • High proficiency in programming, frameworks, and production tools.