MrsElla Zarandi

Academic and researcher specialising in large language model (LLM) implementation, benchmarking and finetuning, model optimisation, data science and analysis, data wrangling, synthetic data generation, machine learning, artificial intelligence (AI), natural language processing (NLP), computer vision, deep learning, time series analysis, and statistical analysis.

Expertise includes advanced deep learning architectures, LLM fine-tuning frameworks, and synthetic data generation techniques. Skilled in leveraging Python, R, SQL, Flask, Power BI, Tableau, Excel, Git, and cloud platforms (GCP, Azure, AWS) to design scalable models, develop interactive applications, and deliver high-impact data visualisations.

Research is driven by a focus on innovation, continuous learning, and the development of novel AI techniques that address real-world challenges. Contributions span both academic and applied domains, with emphasis on advancing methodologies and ensuring practical impact.

Currently appointed as an Associate Teaching Fellow at Deakin University (School of Engineering and Science), responsible for leading seminars, delivering teaching in machine learning, statistics, and programming, providing technical AI expertise, and supervising students across diverse IT and data science units. Teaching and mentorship activities emphasise student-centred learning, technical excellence, and the application of AI across domains such as urban analytics, medical research, wellbeing, sentiment analysis, energy consumption, and federated learning.