Summary
Melika Abdollahi is a data analyst with eight years of hands-on experience building production-ready ML and analytics solutions, recently completing an M.Sc. in Computer Science at Ontario Tech University. She has a proven track record fine-tuning LLMs and GANs, designing ETL pipelines for high-frequency and large-scale data, and delivering reusable analytics frameworks that sped processing and improved resource use. Her work spans predictive maintenance and financial forecasting—achieving notable results like 85% accuracy in cryptocurrency models and a 30% cut in maintenance costs. Comfortable across Python ML stacks, SQL databases, AWS services, and PowerBI visualizations, she bridges research-grade modeling with operational deployments. Based in Vancouver, Melika combines academic rigor with pragmatic engineering, often turning complex sensor or market data into actionable tools and dashboards for cross-team reuse.
8 years of coding experience
3 years of employment as a software developer
Amirkabir University of Technology
Master of Computer Science, Master of Computer Science at Ontario Tech University
English, French, Persian