AMIRTHA DEVI AT
Email : ****************@*****.***
LINKEDIN:linkedin.com/in/amirtha-devi-a-t
Address: Kanyakumari, Tamil Nadu, India
Phone : 938-***-****
SUMMARY
Analytical M.Sc. Physics graduate with strong
quantitative, data analysis, and problem-solving
skills. Proficient in Python, MATLAB, and Excel for data interpretation and modeling. Experienced in
translating complex technical concepts into clear
insights, supporting research projects, and
delivering results in structured formats.
EXPERIENCE
EDUCATION
Manonmaniam Sundaranar University,
Tamil Nadu 2019 – 2022
The Gandhigram Rural University, Dindigul
2022-2024
Bachelor of Science (B.Sc.) – Physics
Master of Science (M.Sc.) – Physics
TECHNICAL SKILLS
Programming & Tools
Python (NumPy, Pandas, Matplotlib – basic
to intermediate)
MATLAB C++ (fundamentals)
MS Excel (data analysis, charts, formulas)
Research & Analytical Skills
Statistical analysis & error estimation
Experimental design & validation
Scientific documentation & reporting
Instrumentation & Techniques
XRD, SEM, cyclic voltammetry, impedance
spectroscopy
Oscilloscopes, spectrometers, calibration &
troubleshooting
SOFTSKILLS
Research Support & Publication Assistance
Worked under faculty mentors during postgraduate
studies
Assisted professors in experimental research, data processing, and validation for journal publications. Performed literature review, data cleaning, result interpretation, and graphical visualization for
research manuscripts.
Contributed to drafting sections of research
papers, including methodology, results discussion, and references.
Postgraduate Associate June 2024 – 2025
SRV Hi-Tech School, Salem
Designed and delivered structured lesson
plans aligned with curriculum objectives.
Translated complex physics concepts into
clear, understandable explanations for diverse
learners.
Evaluated student performance using
assessments and data-driven feedback
methods.
RESEARCH EXPERIENCE & ACADEMIC
CONTRIBUTIONS
Electrochemical Performance of Pure and
Composite NiMnO Nanoparticles
Investigated electrochemical behavior of
pure and CNT-composite NiMnO
nanoparticles for energy storage
applications.
Conducted material characterization using
XRD, SEM, cyclic voltammetry, and
electrochemical impedance spectroscopy.
Analyzed capacitance, charge–discharge
efficiency, and cycle stability using Python
and Excel.
Compared performance metrics to identify
optimization strategies for batteries and
supercapacitors.
Applied Skills & Projects
Analytical thinking & problem-solving
Technical communication & academic writing
Cross-functional collaboration
Time management & adaptability