Summary
Gasia Atashian is a senior fraud data science engineer with 10 years of experience building ML and deep learning systems to detect threats, reduce churn, and improve ad and product ROI. Currently at Adobe after leading Trust & Safety and LTV initiatives at DISQO, she has delivered fraud detection models that saved over $1M annually and deployed production ML on AWS. She combines hands-on model development, time-series forecasting, and attribution simulation with cross-functional leadership and A/B testing to translate analytics into measurable business impact. As a former CTO of a crypto AI startup and co-founder of ML-driven ventures, she blends product-minded engineering with practical cloud scaling and trading-system know-how. An educator and community organizer, she also taught programming for data science and co-created a wildfire prediction project, signaling a pattern of applying ML to high-stakes real-world problems. Based in Glendale, CA, she pairs rapid learning and ownership with a track record of shipping production-grade, revenue-driving models.
10 years of coding experience
8 years of employment as a software developer
High School, High School at Armenian General Benevolent Union -AGBU
Master of Science - M.Sc. Computer and Information Science Data Science, Master of Science - M.Sc. Computer and Information Science Data Science at American University of Armenia
Exchange Program, Exchange Program at Tsinghua University
English, Armenian, Arabic, French