Minahil Ashfaq

As a Quality Analyst, I am responsible for documenting test cases and conducting testing and evaluation of eCommerce solutions developed across different Salesforce Platforms. I focus on ensuring our clients and end-users receive the highest-quality product possible. Through my experience and expertise in software testing methodologies and practices, I work closely with cross-functional teams to identify defects and areas for improvement and collaborate with developers to ensure the timely resolution of any issues found during testing. I aim to ensure that our eCommerce solutions meet or exceed our client's expectations and provide an optimal user experience.

As a Business Analyst, my primary focus was on gathering and comprehending clients' requirements. I used my analytical skills to translate those requirements into clear and concise proposals for solutions that maximize stakeholder value. Throughout the process, I worked closely with cross-functional teams to identify potential areas for improvement and ensure that solutions aligned with business objectives. As a part of this process, I drew up documents outlining proposed modifications and assisted with implementation to ensure successful adoption. In addition, I maintained ongoing communication with stakeholders to keep them informed of the project status and any changes that may impact them. My goal was to ensure that our solutions are not only functional and meet the needs of our clients, but also align with the overall strategic vision of the organization.

As a Quality Assurance Analyst, my focus was on ensuring compliance with industry standards and client requirements throughout product and system testing. I contributed to the creation of test plans, test cases, and other test documentation, leveraging my expertise in software testing methodologies and practices. My responsibilities included conducting a variety of tests, including Integration, Regression, Smoke, Functional, Non-Functional, and Performance Testing. I worked closely with cross-functional teams to identify defects and areas for improvement and collaborated with developers to ensure timely resolution of any issues found during testing. Through my attention to detail and dedication to quality, I helped to ensure that our products and systems met or exceeded expectations and provided optimal user experiences.

Equipped with a robust foundation in core areas such as Software Design, Cloud Computing, and Object-Oriented Programming, I've mastered the intricacies of advanced topics like Network Security and Digital Image Processing. For my final year project, I partnered with an internationally recognized firm, Deep CI, to develop a cutting-edge Machine Learning-based Cognitive Engine. This innovative engine optimized the LoRAWAN networking protocol for energy-efficient transmissions, underscoring the potential for future smart cities.

Over the course of my advanced studies, I've gained a profound understanding of data governance, ethics, and the nuances of statistical modelling. My coursework enabled me to unlock concealed information from vast data sets, make judicious decisions, and proficiently communicate statistical findings even amidst bias and uncertainty. With a strong aptitude in pivotal Data Science languages like R and Python, I've sharpened key skills, from analytical reasoning to written communication and creative problem-solving. My master's thesis stands as a testament to my dedication to data-driven insights, with a deep-dive exploration into the sentiments surrounding climate change discussions on Twitter. Beyond cataloguing global attitudes, this intensive study employed advanced techniques like Latent Dirichlet Allocation (LDA) for topic modelling, tracing the evolution of these discussions over time. Through a detailed examination, sentiment analysis, and meticulous discourse analysis, my work unearths the intricate dance of digital dialogues on pressing environmental challenges, highlighting the immense potential of harnessing social media for climate change communication.