As a Machine Learning Engineer, I have a passion for creating data-driven solutions that solve real-world challenges and drive innovation. Currently, I am pursuing a Graduate Certificate in AI with Machine Learning at Humber College to deepen my knowledge and skills in data science methodologies and machine learning models.I have successfully applied my expertise in emotion detection to develop a real-time app that achieved a remarkable accuracy of 92% using TensorFlow and clustering. I completed this project as an intern at NullClass, where I gained hands-on experience in the practical application of machine learning technologies. Previously, I created an Application Tracking System (ATS) leveraging NLP, topic modelling, document classification, and PyQt, and deployed it to AWS, ensuring scalability and efficiency. This project significantly benefited Orena Solutions, where I worked as a Machine Learning Engineer for three months.I am proficient in analyzing large datasets, identifying trends, and translating findings into actionable insights. I am skilled in utilizing libraries like pandas, NumPy, matplotlib, seaborn, PyQt, and scikit-learn, and programming languages such as Python and Java. My curiosity drives me to explore new data-driven solutions and contribute to the ever-evolving field of data science. I aim to apply my skills to create meaningful impact in different fields like healthcare, entertainment, and more.I am always open to connecting with like-minded professionals, sharing insights, and exploring potential collaborations. Feel free to reach out to discuss the exciting possibilities at the intersection of data and innovation!