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Research Assistant with 2+ years in applied physics and data analysis
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Competencies
Applied linear and nonlinear data fitting techniques for analyzing electrical and material data.
Utilized supervised and unsupervised machine learning approaches for data characterization and clustering.
Proficient in computer programs like Microsoft Office, Python, and Collaboratory for technical tasks.
Conducted experimental investigations and analyzed electrical data to support research goals.
Demonstrated basic leadership in supervising experiments and managing data collection.
Education
Languages
Summary
Dedicated research professional with hands-on experience in electrical material properties, device manufacturing, and advanced data modeling. Skilled in machine learning and technical tools, committed to supporting experimental research.
Key Achievements
- Investigated electrical and electronic properties of polymer-based materials, contributing to foundational research in the department.
- Developed and manufactured electrical devices, supporting experimental research initiatives.
- Analyzed data from electrical device operations using electrical currents, applying various data modeling techniques.
Experience
Research Assistant
Investigate the electrical and electronic properties of materials made from polymers., Manufacture electrical devices., Analyze data from electrical devices and their operation using electrical currents.