HIMA M P
Software Testing/QA Fresher
+ Kerala, India
# ********@*****.***
ï linkedin.com/in/hima-m-p
§ github.com/mp-hima
ABOUT ME
Electronics and Communication En-
gineering graduate with hands-on
experience in manual testing, ex-
ploratory testing, test case design,
and bug reporting. Interested in Soft-
ware Quality Assurance and test au-
tomation.
TECHNICAL SKILLS
Manual Testing
Selenium
Core Java
Python
SQL
Git / GitHub
Jenkins
Microsoft Excel
SOFT SKILLS
Communication
Problem Solving
Teamwork
Attention to Detail
Time Management
Adaptability
Quick Learning
CERTIFICATIONS
Machine Learning using Python
NIELIT
LANGUAGES
Malayalam – Native
English – Proficient
HOBBIES
Drawing
Singing
Experience
Sutherland Global Services
BPO Associate – Non-Voice Process 3-Month Contract Worked as a BPO Associate in a non-voice process supporting Amazon Canada operations. Handled customer queries and concerns through chat, understood their issues, provided appropriate solutions, and resolved requests according to the process guidelines. Maintained accuracy while handling customer interactions and ensured a smooth customer experience.
Education
B.Tech Electronics and Communication Engineering
Federal Institute of Science and Technology, Angamaly KTU CGPA: 7.54 2026
Higher Secondary Education
Sacred Heart HSS, Thevara
95% 2021
SSLC
Christ King Convent G H S, Ponnurunni
Full A+ 2019
Projects
Anton Matrimony Website
Manual Testing Functional Testing UI Testing
Performed manual testing on the Anton Matrimony website to verify function- ality, navigation, form validation, and user interactions. Designed and executed test cases and identified and documented functional, UI, and validation-related defects.
Manual Testing of Magic Frames Website
Manual Testing Exploratory Testing
Performed exploratory manual testing on the Magic Frames website to evaluate functionality, usability, UI consistency, navigation, and overall user experience. Identified and documented functional,UI, navigation, and media-related defects effectively.
Smart System for Prediction of Stroke Recurrence and Health Monitoring
Python Raspberry Pi Machine Learning IoT
Developed a health monitoring and stroke prediction system using facial, audio, and vital sensor data. Integrated BP, heart rate, and SpO2 sensors for real-time data acquisition, processing, and patient health monitoring. Deaf to Blind Communication Using Arduino Uno
Arduino Uno Embedded Systems Python
Developed a glove-based communication system that converts hand gestures into audio output. Used flex sensors and Arduino Uno to detect gesture patterns and provide real-time audio feedback using Text-to-Speech. Courses & Certifications
Software Testing
Rogersoft Technologies
Machine Learning using Python
NIELIT