Welcome to my portfolio
Aagya Aryal
QA Engineer & Aspiring Data Scientist
Transforming quality assurance expertise into data science capabilities. With 2+ years of professional QA experience, I'm building a foundation in machine learning, data analysis, and statistical thinking. Passionate about turning data into actionable insights and shipping quality software.
Years in QA
Projects Done
Languages
About Me
Computer Science graduate with 2+ years of hands-on QA experience spanning manual testing, automation frameworks, API testing, and performance analysis. Currently pursuing a Master's degree in Data Science while strengthening my foundation in Python, statistics, and data analytics.
I bridge the gap between quality assurance and data science—understanding system reliability from the QA perspective while building analytical thinking required for data-driven decisions.
Education
Bachelor of Science in Computer Science and Information Technology
College of Applied Business and Technology
September 2019 – June 2024
GPA: ~3.3
Relevant Coursework: Databases, Data Structures, Software Engineering, Analytical Problem Solving
Professional Experience
Quality Assurance Engineer
Aximpro
March 2024 – Present
Teaching Assistant (Part-Time)
College of Applied Business & Technology
April 2024 – June 2025
QA Intern
Inctic Labs
December 2023 – March 2024
Frontend Intern
Hazesoft Pvt. Ltd.
May 2022 – September 2022
Core Competencies
Featured Projects
Showcase of professional QA and academic work
Resume & CV
Complete Resume
PDF Download
Comprehensive resume with detailed education, professional experience, technical skills, and certifications.
Years Experience
Technical Skills
Certifications
Languages
Education
- • BSc Computer Science & IT
- • Pursuing MS in Data Science
- • GPA: ~3.3
Expertise
- • Automation Testing
- • Data Analysis & SQL
- • API & Performance Testing
Growth
- • Python & Machine Learning
- • Statistical Analysis
- • Data Visualization
Research Interests
Areas of passion and exploration
Machine Learning
Exploring supervised and unsupervised learning techniques, neural networks, and deep learning applications.
Data Science
Advanced statistical methods, data analysis, and extracting meaningful insights from complex datasets.
Quality Assurance
Automated testing strategies, software quality metrics, and continuous improvement methodologies.
Predictive Analytics
Building predictive models for forecasting and decision support systems.
Get in Touch
Have a question or want to collaborate? Reach out!
Let's Connect
Whether you have a question, want to discuss data science, or just want to say hi, feel free to reach out using the form or through my social profiles.
Response Time
Typically respond within 24 hours