As a specialist in data science, analytics, and an R&D engineer, I am passionate about applying advanced knowledge to resolve real-world problems. With a Master of Science in Computer Information Systems from the Florida Institute of Technology and an in-progress Master of Engineering in Systems and Technology from McMaster University, I have a solid foundation in data science and analytics and a great desire to learn and explore new technologies.In my latest role at AnimalEYEQ, I have successfully trained and optimized computer vision models such as YOLOv5 and ReID, using proprietary livestock big data. These models enable accurate and efficient identification and tracking of animals, enhancing their monitoring and management. I have also developed and deployed APIs using the Python FastAPI framework on AWS environments, facilitating seamless inferencing and integration of the models. As a result, I have contributed to delivering reliable computer vision models with a high accuracy of 92% for stakeholders, improving the productivity and well-being of the industry.Previously, I worked as a Senior Data Analyst at Athena Studio, where I analyzed and modeled big data of a mobile game, using Google Colab, Pandas, Numpy, and Scikit-learn. I provided strategic recommendations on game design and in-app purchases, leading to a remarkable 25% increase in sales and user retention. I also designed and implemented a BI reporting system using Firebase and Google BigQuery, enabling data-driven decision-making and performance monitoring.I enjoy working in dynamic and collaborative teams, where I can share my knowledge and skills and learn from others. I am always eager to take on new challenges and opportunities, and to leverage data and technology to create positive impact and value.