Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 5


I embarked on my academic journey with a bachelor's degree in Informatics and Applied Mathematics at Yerevan State University. The Armenian Government recognized my dedication and awarded me a full academic scholarship. As part of the university's mathematics team, I earned a second category diploma in the North Countries Universities Mathematical Competition, solidifying my passion for mathematics.

Driven to delve deeper into Machine Learning (ML), I enrolled in a competitive ML course by Armenian Code Academy. Through this program, I gained a well-grounded understanding of ML concepts and the mathematical principles behind them.

Transitioning to a professional role as a Machine Learning Engineer, I worked on diverse projects, including house price prediction and developing the conversational-AI assistant Hoory. Excellent communication skills, algorithmic expertise, and knowledge of SQL and NLP were vital to my success during my 3.5 years in this role.

To expand my skills in Data Science, I pursued a Master's degree in Mathematics in Data Science at Technical University of Munich (TUM). As a tutor for the Foundations of Data Engineering course, I shared my knowledge and passion for teaching. I furthered my practical experience through a summer internship with the Meta WhatsApp team in London, working with large-scale data and using Python and SQL to develop data pipelines.

Selected as a Data Scientist for a group project at the BMW Group & Data Innovation Lab at TUM, I gained valuable industry exposure. Concurrently, I contributed as a Machine Learning Researcher at YerevaNN, exploring the transferability of adversarial attacks.

As a Teaching Assistant for the Machine Learning Operations course at the American University of Armenia, I nurtured students' growth. Simultaneously, I dedicated myself to my Master's thesis project, "Diffusion Models as Latent Priors in Generative Models," receiving a grade of 1.3 (very good) and successfully completing my Master's degree, marking a significant milestone in my academic and professional journey.