Arman Terzyan Email & Phone Number

Los Angeles, CA, US

Los Angeles, California, United States

Albuquerque, New Mexico, United States

• Developed computer vision and image processing algorithms for various intelligence, surveillance, and reconnaissance applications with extensive use of OpenCV.
• Performed feature extraction and designed anomaly detection method as first step in object detection pipeline.
• Built custom GUI for image annotation with PyQT5.
• Applied statistical techniques for state estimation tasks.
• Collaborated regularly with stakeholders to provide interpretability of methodologies as well as insights on potential next steps.

Los Angeles, California, United States

• Led undergraduate recitation sessions for precalculus and above. Also taught individual courses on data analysis with Excel and introductory graph theory for students in non-STEM majors. Excellent ratings were received.
• Prepared innovative lectures to engage students for individual courses and created helpful problem sets to work through in recitation sessions.
• Held weekly office hours to provide tutoring or other assistance for students.
• Graded assignments and exams in addition to online course maintenance through Canvas.

Los Angeles, California, United States

Explored student application data consisting of numerous metrics (e.g., GPA by subject, SAT score, and ACT score) in order to predict necessity of placement in remedial courses at CSUN. Built numerous models and visualizations in Python to aid in understanding of the flow of incoming students after removal of university placement tests.

Los Angeles, California, United States

• Tutored at all levels of undergraduate mathematics from basic algebra to analysis both in person and online.
• Helped students with classwork, homework, and exam preparation.
• Unraveled complicated topics for students to see core idea of each problem.
• Collaborated regularly with instructors to ensure student success.

Albuquerque, New Mexico, United States

• Worked as a summer scholar at Kirtland Air Force Base. Primary goal was to use machine learning to both expedite the modeling phase for particular device design and also gain insight in specific situational awareness.
• Constructed informative visualizations with Matplotlib and Seaborn for preliminary analysis.
• Trained several machine learning algorithms including random forests, boosting, and support vector machines using Python for regression and feature selection tasks.
• Consulted regularly with other scientists more closely involved in the design process to apply their domain expertise in modeling.

Los Angeles, California, United States

• Aided in one month program to engage freshman community college students in the fields of data science and machine learning. Topics ranged from basic statistical analysis to building a neural network.
• Ran 3+ hour recitation sessions on the topics of the day.
• Worked one-on-one with students who had minimal coding both R and Python.
• Led the group of 10+ through a full pipeline of data exploration and machine learning until submission of their own predictions for a different Kaggle contests.

Master Of Science - Ms, Applied Mathematics

My master's thesis examined the underlying causes of curse of dimensionality. We present some counterintuitive mathematical and.

Bachelor Of Science - Bs, Mathematics