Sergey Mirzoyan
I am Sergey Mirzoyan, a data scientist and ML engineer with a PhD in Astrophysics, currently leading data science initiatives at Synopsys Armenia CJSC.
About
I am Sergey Mirzoyan, a data scientist and ML engineer with a PhD in Astrophysics, currently leading data science initiatives at Synopsys Armenia CJSC. I combine hands-on ML, computer vision, time-series analysis, and software development to solve complex problems in semiconductor wafer maps and network noise modeling. My work spans industry, academia, and defense projects, and I enjoy turning data into actionable insights and scalable solutions.
Over the years I have taught machine learning and mathematics, mentored students, and contributed to cosmology data analysis at AANL. I love collaborating across disciplines, communicating technical concepts clearly, and exploring new frontiers in AI and data science.
- 10 years' experience
- Joined November 2025
Languages
- ArmenianFluent
- EnglishFluent
- RussianAdvanced
- ItalianBeginner
Industry experience
- Computers & Electronics
- Education
- Manufacturing
- Media & Entertainment
- Government
- Professional Services
- Software & Internet
Work experience· 8 roles
Pinpointing network noise and identifying problem areas in the cable network; propose data-driven solutions and strategies; data preprocessing and analysis; build predictive models and ML algorithms; data visualization; simulate various noise scenarios; forecast noise portions in time series using artificial neural networks.
Automated detection of various types of signatures in semiconductor wafer maps; computer vision-based object classification; segmentation of signatures; multi-label classification on multi-class labeled data; grouping of signatures based on similarity.
Unit 1991 program of the Ministry of Defense of the Republic of Armenia; taught Linear Algebra, Analytical Geometry, Calculus, Probability Theory; taught Python, Pandas, Numpy, Matplotlib; mentored AI projects for military purposes.
Education· 6
Certifications and awards
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