QA Engineering Projects Portfolio

This portfolio highlights the projects I completed during the TripleTen QA Engineering Bootcamp.
Each sprint demonstrates progression from manual testing → API → database → mobile → automation with Python, Selenium, and POM.

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Sprint 1 — Urban Routes: Bug Reports in Jira

Platform: Web App (Urban Routes), Jira
Focus: Manual exploratory testing + structured bug reporting.

Key Deliverables:

• Tested route-building and cost calculation features
• Reported bugs in Jira using summary, description, steps to reproduce, expected vs. actual results
• Captured browser/OS environment for reproducibility

Evidence: 📂 Jira Project Board (Sprint 1)
Additional Evidence: 📂 Google Drive (All Projects)

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Sprint 2 — Requirement Analysis & Test Design

Platform: Urban Routes (Web App), Google Docs/Sheets
Focus: Test design using equivalence partitioning (EC) + boundary value analysis (BVA).

Key Deliverables:

• Decomposed FR-1 to FR-4 into atomic blocks
• Created equivalence class + boundary value partitions
• Designed positive/negative test cases in Google Sheets
• Linked test failures to Jira bug reports

Evidence: 📂 Sprint 2 Google Drive Folder

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Sprint 3 — Urban Routes: DevTools & Complex Features

Platform: Chrome DevTools, Jira, Google Sheets
Focus: Combined requirement analysis + DevTools testing.

Key Deliverables:

• Decomposed Carsharing (FR-CS32, FR-CS33) + Aero Taxi (FR-AT4, FR-AT6) requirements
• Built EC + BVA test cases
• Verified responses and simulated overrides in DevTools
• Logged bugs with network evidence and reproducible steps

Evidence: 📂 Sprint 3 Google Drive Folder

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Sprint 4 — Urban Grocers API: Kits & Fast Delivery

Platform: Postman, XML, Google Sheets, Jira
Focus: API test design & execution.

Key Deliverables:

• Requirement 1 (Kits): 14–20 test cases for /api/v1/kits/:id/products
  • Kit ID validation (200 vs 404)
  • Product ID validation (valid vs non-existent → 400)
  • Quantity & body structure validation
• Requirement 2 (Fast Delivery XML): 19–28 test cases for /fast-delivery/v3.1.1/calculate-delivery.xml
  • Delivery time boundary testing vs operating hours
  • Product weight & count edge cases
• Bug reports with HTTP method, endpoint, and status code in titles

Evidence: 📄 Sprint 4 Google Sheets Submission
Additional Evidence: 📂 Google Drive Folder

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Sprint 5 — Console & Database Testing

Platform: Linux CLI, SQL (PostgreSQL)
Focus: Backend log analysis + database validation.

Key Deliverables (High-Level):

• Analyzed server logs with Linux command line tools
• Filtered error logs into categories (400 vs 500)
• Ran SQL queries to validate taxi fleet data and company sizes

Evidence: 📄 Sprint 5 Google Doc Submission

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Sprint 6 — Urban Lunch Mobile App Testing

Platform: Android Emulator (Pixel 5), Figma, Google Sheets, Jira
Focus: Functional mobile testing.

Key Deliverables:

• Built test checklist for ordering flow based on requirements
• Installed & executed Urban Lunch app tests in emulator
• Logged failed tests with Jira bug reports + evidence
• Delivered test execution report with PASSED/FAILED results

Evidence: 📄 Sprint 6 Google Sheets Submission

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Sprint 7 — Python Automation Framework Setup

Platform: Python, PyTest, Selenium (prep)
Focus: Laying groundwork for automation.

Key Deliverables:

• Created modular repo: data.py, helpers.py, main.py, requirements.txt
• Added test data constants (address, phone, card, driver message)
• Defined 8 placeholder test functions in main.py (PyTest-compatible)
• Added setup_class for server connectivity checks
• Prepared loop for “Order 2 Ice Creams” test

Evidence: 📂 Sprint 7 GitHub Repo

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Sprint 8 — Selenium End-to-End Automation (Urban Routes)

Platform: Python, Selenium WebDriver, PyTest, POM
Focus: Full automation of Urban Routes app.

Key Deliverables:

• Implemented Page Object Model (POM) in pages.py
• Automated end-to-end flow:
  • Set route → Select tariff → Enter phone → Verify SMS → Add card → Add driver comment → Order blanket & handkerchiefs → Order 2 ice creams → Verify car search modal
• Used explicit waits, conditional checks, and helper utilities
• Structured tests in main.py, locators + methods in pages.py

Evidence: 📂 Sprint 8 GitHub Repo (urban-routes-project)

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Sprint 9 — Final Project: Urban Scooter (Web, Mobile, API)

Platform: Chrome, Opera, Android Studio, Postman, Jira, Google Sheets
Scope: Capstone project validating Urban Scooter across Web, Mobile, and API layers.

Key Deliverables:

• Web App (Task 1): Designed + executed test cases for About Customer form (name & phone) across Chrome/Opera. Logged bugs in Jira.
• Mobile App (Task 2): Installed app in emulator, created courier via API, tested highlighted features in Figma. Logged defects in Jira.
• API Backend (Task 3): Designed + executed test cases for Add/Delete Courier endpoints. Validated response codes (200, 400, 404) and error handling in Postman.
• Consolidated results in Google Sheets with Jira bug links.

Evidence: 📄 Sprint 9 Google Sheets Submission

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