Automation Testing:
Selenium (WebDriver), TestNG, Maven, Jenkins, Allure Reporting.
API Testing:
Postman, REST Assured, JMeter, Locust.
Programming Languages:
Java, Python, PHP, JavaScript.
Database Management:
SQL, MySQL, MsSQL, PostgreSQL.
Expertise
Data Visualization:
Power BI, Tableau.
Version Control & CI/CD Tools:
Git, Jenkins.
Other Tools & Technologies:
Firebase, Google Maps API, Apache JMeter.
Operating Systems:
Android, Ubuntu, Windows (10, 11).
Certification
Introduction to Responsible AI — Google
Introduction to Generative AI — Google
Introduction to Docker and Kubernetes — Styava.dev
SQA: Manual & Automated Testing —ostad.app
Zero to Hero in Android (Season 1,2 & 3) —BongoAcademy
SauceDemo Automated Testing
https://github.com/rizbiislam/saucedemo-test
Created an end-to-end test automation framework for the SauceDemo eCommerce website using Selenium WebDriver and TestNG. The framework follows allure reporting and Page Object Model (POM) for clean, maintainable code, and automates key scenarios such as login, selecting random products, checking the product's total price, cart management, and checkout.
Demo Evershop Automated Testing
https://github.com/rizbiislam/Demo-Evershop
Created an end-to-end test automation framework for the SauceDemo eCommerce website using Selenium WebDriver and TestNG. The framework follows the Page Object Model (POM) for clean, maintainable code and automates key scenarios such as login, searching products, selecting random products, checking product's total price, cart management, and checkout.
Demo Evershop API Testing
https://github.com/rizbiislam/Demo-Evershop
Automated API testing for the Evershop e-commerce platform using Postman and Newman. Validated key API endpoints for functionality, performance, and reliability. Results were documented in a detailed Newman HTML report. Technologies Used: Postman, Newman, HTML Reporting.
Tourist Guide & Safety App - Android Applications
Developed an innovative mobile app that enables users to meticulously plan their tours, book bus tickets, and explore visiting spots. Features include the ability to hire guides, send emergency help requests with real-time location sharing, receive weather updates, and access news content. Built using Java and XML with Firebase for backend services, and integrated with Google Maps for precise navigation and Volley for efficient network operations.
Shakib Al Hasan Batting Career Statistics Analysis Dashboard
Developed a dynamic visualization tool showcasing Shakib Al Hasan’s batting records from 2006 to the present. This interactive dashboard allows users to filter performance metrics by match format, including centuries, half-centuries, sixes, and fours. Implemented using Power BI and Power Query, with data management facilitated through Google Sheets.
Heart Failure Prediction Data Mining and Machine Learning Techniques
Developed a high-accuracy prediction model using the Random Forest algorithm, achieving over 90% success in detecting heart failure instances. This model was part of a comprehensive machine-learning approach that also incorporated Naive Bayes and KNN algorithms to enhance diagnostic precision and reliability.
Heart Failure Prediction Data Mining and Machine Learning Techniques
Developed a high-accuracy prediction model using the Random Forest algorithm, achieving over 90% success in detecting heart failure instances. This model was part of a comprehensive machine-learning approach that also incorporated Naive Bayes and KNN algorithms to enhance diagnostic precision and reliability.