Ramsha A.

I have a Bachelor’s degree in Computer Science and a strong foundation in both software development and data analysis. Over the years, I’ve worked in roles that built both my technical and business understanding—starting as a data analyst intern for a fleet management company in Dubai, where I worked with real-time tracking data to generate insights and optimize operations. Later, I worked as a QA engineer in an e-commerce firm, where I sharpened my eye for detail and data-driven thinking.”

What truly drew me to data science was the blend of logic, pattern recognition, and impact. I enhanced my skills with a certification in Data Science & AI from the Boston Institute of Analytics, and I’ve since been working on real projects using Python, Pandas, scikit-learn, SQL, Power BI, and machine learning models like logistic regression, decision trees, and ensemble methods.

Over time, I realized I not only enjoy working with data—but also teaching it. I’ve created lesson plans, PowerPoint slides, assignments, and quizzes to teach Python, SQL, and Power BI to school and MBA students. My approach is to break down complex concepts into real-world analogies, focus on hands-on learning, and adapt my style based on the student’s level. Whether it’s explaining basic data types or guiding someone through hyperparameter tuning, I find joy in making data science approachable and practical.

My goal as a trainer is to empower learners with both the technical skills and the mindset they need to thrive in data science careers.