Career Profile
Motivated and detail-oriented aspiring Quality Engineer and Data Analyst with hands-on experience in industrial electronics, embedded systems, and test automation. Skilled in Python, C++, and microcontroller-based development, with a strong foundation in quality assurance methodologies and data-driven decision-making.
I bring a methodical and analytical mindset to every challenge, backed by real-world experience leading projects that combine hardware innovation with sustainable technology. From award-winning science fair inventions to IoT-driven environmental systems and collaborative QA bootcamps, I’ve developed a passion for building reliable, testable, and impactful solutions.
I’m eager to contribute to a team where I can apply my skills in software quality, test automation, and process improvement — while continuing to grow technically and professionally in dynamic, problem-solving environments.
Experiences
- Designed and built a smart, self-regulating beehive during a visit to the Netherlands to assist a family-owned beekeeping business.
- Aimed to optimize winter hive temperature to reduce bee energy expenditure on survival and increase honey production in spring.
- Used an ESP32 microcontroller to collect and transmit sensor data, and to regulate heat output via an internal heating pad.
- Installed four thermostats (one per corner) for distributed thermal readings and a humidity sensor to monitor hive climate conditions.
- Collaborated with a senior programmer to evaluate and debate heating control strategies:
- Considered a simple on/off threshold approach vs. dynamic voltage-based regulation.
- Ultimately implemented a voltage-controlled system for smoother, more efficient thermal regulation.
- Diagnosed multiple hardware issues:
- Identified a batch of defective ESP32s; escalated to supplier and secured replacements.
- Troubleshot a non-functional humidity sensor with a multimeter; discovered a soldering defect and replaced the unit.
- Resolved Wi-Fi connectivity issues by deploying signal repeaters for real-time remote monitoring.
- Created a live web dashboard to monitor temperature and humidity metrics.
- Post-deployment (6-month impact):
- Significant increase in bee population.
- Doubling of honey production in the following spring.
- Programmed an autonomous robot to clear obstacle courses using iterative testing and real-time debugging.
- Designed a clean-energy project with smart environmental features.
- Promoted team collaboration, problem-solving, and value-based leadership under competition pressure.
- Balanced performance, reliability, and strategy execution during technical implementation.
- Supported overall event logistics by supervising matches, coordinating evaluation processes, and ensuring smooth competition flow.
- Assisted with additional on-site responsibilities including distributing water, reorganizing chairs, and preparing the event space—contributing to a professional and efficient environment.
- Demonstrated strong accountability, professionalism, and a high level of organizational awareness throughout the event lifecycle.
- Cultivated a QA mindset by identifying operational gaps, proactively supporting teams, and maintaining a standard of excellence in all assigned and unofficial tasks.
- Completed a full-time QA Bootcamp with a focus on automation tools and Agile methodology.
- Hands-on with:
- Postman (API Testing)
- Selenium (UI Automation)
- JIRA (Agile workflows & bug tracking)
- Learned test case creation, defect reporting, and QA strategy.
- Presented on White Box vs. Black Box testing.
- Participated in mock interviews and English-language documentation.
- Automated the end-to-end testing of a Pet Adoption web app.
Certifications
Completed a comprehensive, self-paced program designed to transition learners from foundational QA concepts to advanced automation techniques. The curriculum encompassed:
- Quality Assurance Fundamentals: Understanding QA principles, software development life cycle (SDLC), and various testing methodologies.
- Python Programming: Gained proficiency in Python, focusing on its application in test automation scenarios.
- Automated Testing Tools: Hands-on experience with tools like Selenium for browser automation and RESTful API testing.
- Test Case Design & Bug Tracking: Developed skills in creating effective test cases and managing defects using industry-standard practices.
- Version Control with Git: Collaborated on projects using Git for version control and code management. Repository: https://github.com/IvanWeissVanDerPol/Introduction-to-QA-and-QA-Automation-Beginner-to-Expert
Engaged in a 5-week intensive course focusing on Python’s role in data science. Key learnings included:
- Data Cleaning & Transformation: Utilized libraries like Pandas and NumPy to preprocess and clean datasets.
- Data Analysis & Visualization: Applied statistical methods and created visualizations using Matplotlib to derive insights from data.
- Real-World Applications: Worked on projects involving real-world datasets to solidify understanding of data science concepts.
- Problem-Solving Skills: Enhanced analytical thinking and problem-solving abilities pertinent to QA data validation and automation tasks.
Preparing for the ISTQB Certified Tester Foundation Level (CTFL) v4.0 certification, aiming to solidify foundational knowledge in software testing. Areas of focus include:
- Testing Fundamentals: Understanding the principles and processes of software testing.
- Test Design Techniques: Learning various test design techniques to create effective test cases.
- Test Management: Gaining insights into managing test activities and resources efficiently.
- Tool Support for Testing: Exploring tools that support testing activities, enhancing efficiency and effectiveness. Certification goal set for 2025 to formalize QA knowledge and enhance professional credibility.
Projects
A selection of personal and science fair projects demonstrating technical skills in automation, embedded systems, web development, and real-world problem solving.
Self-Watering System for Plants 2022
- Designed and built a low-cost automated irrigation system using analog soil moisture detection via electrode probes.
- Controlled a water pump through a relay based on moisture sensor input; system activated watering when soil dried beyond threshold.
- Applied early QA analysis post-build to identify a key limitation—risk of overwatering—and proposed integration of additional environmental sensors (humidity, light, temperature) for smarter decision-making.
- Gained foundational experience in circuit design, sensor logic, and iterative hardware improvement.
Automated Grill 2023
- Developed a fully automated gas-powered grill using an Arduino Mega, matrix keypad, LCD interface, and AC motor.
- Enabled user control over cook time, grill rotation frequency, and target temperature through a customizable input interface.
- Integrated an electrovalve and spark ignition system to automate flame control, with safety logic for shutoff upon timer expiration.
- Resolved hardware challenges during development, including torque inadequacy (solved with a higher-power AC motor) and electrical interference from the 220V ignition system (resolved via circuit isolation).
- Conducted QA testing to ensure reliability of timer logic, motor rotation control, and flame ignition safety under varied load conditions.
- Awarded 1st place at a regional science fair for engineering innovation and automation reliability.
Medical Tracker (Remote Health Monitor) 2024
- Created a remote healthcare monitoring system for elderly patients using a wearable ESP32-based bracelet and a Raspberry Pi-powered web server housed in a 3D-printed bear.
- Sensors on the wearable tracked vital signs: heart rate, blood oxygen (SpO₂), and body temperature; data was transmitted in real time via JSON over Wi-Fi.
- Raspberry Pi served both as a local monitor (via onboard display) and as a host for a live web dashboard accessible by doctors and caregivers.
- Built a lightweight UI using HTML, Tailwind CSS, and SQL backend; rapidly self-learned necessary web technologies to complete project goals.
- Designed system to assist non-specialist caregivers and reduce workload in understaffed senior care homes, inspired by pandemic-related challenges.
- Applied QA techniques including simulated sensor data testing, connectivity fault simulation, and user feedback testing for non-technical accessibility.