Yashar Arkinel
Summary
A driven planetary science researcher, I have deep passion for uncovering the mysteries of the universe starting with each planet. With a sharp analytical mind and hands-on experience in planetary atmosphere simulations and space systems analysis, thriving in solving complex problems through computational modeling. Skilled in Python and MATLAB, by approaching research with an adaptable and curios mind, I am eager to collaborate and explore new frontiers in planetary science.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Teaching Assistant, College of Engineering
Carnegie Mellon University
02.2024 - 05.2025
- Managed classroom behavior effectively, creating a positive learning atmosphere conducive to academic success.
- Supported classroom maintenance and upkeep, organizing books, and materials.
- Supported classroom activities, tutoring, and reviewing work.
- Helped with grading assignments and tests, providing constructive feedback to students based on results.
Lab Assistant
Adientone
03.2023 - 06.2024
- Managed specimen sample handling, receiving, storage and inventory.
- Logged samples correctly into computerized tracking system.
- Maintained lab by calibrating equipment and cleaning surfaces and items used.
- Enhanced laboratory efficiency by maintaining and organizing equipment, supplies, and samples.
- Prepared specimens for testing and analysis.
Education
Ph.D. - Planetary Science
University of Toronto
Toronto, None04-2025
Skills
- Positive attitude
- Computer skills
- Relationship building
- Calm and patient demeanor
- Data Analysis
- Programming (Python, MATLAB, IDL)
- Remote Sensing
- Critical Thinking
- Problem-Solving
- Experimental Design
- Machine Learning & AI
Accomplishments
- Achieved significant improvements in planetary atmosphere simulation accuracy by completing extensive data modeling and computational analysis with accuracy and efficiency.
Languages
English
Native or Bilingual
Spanish
Full Professional
Certification
- Planetary Data Analysis Training – 2024 Machine Learning for Space Research – 2025
Interests
Planetary Science & Exploration
Data Science & Computational Modeling
Space Technology & Aerospace Systems
Astrobiology & Habitability Research
Scientific Writing & Communication
Timeline
Teaching Assistant, College of Engineering
Carnegie Mellon University
02.2024 - 05.2025
Lab Assistant
Adientone
03.2023 - 06.2024
Ph.D. - Planetary Science
University of Toronto
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