Results-driven Machine Learning Engineer with experience developing and deploying scalable ML models and data-driven applications. Proficient in data science, algorithm design, and advanced data manipulation techniques using Pandas, NumPy, and Scikit-learn. Adept at building robust classification and clustering models, evaluating performance metrics, and optimizing results through rigorous testing and model tuning. Strong foundation in mathematics, linear algebra, and software engineering principles. Hands-on experience with TensorFlow, PyTorch, and cloud-based services. Skilled in version control using Git and collaborating with other scientists to implement ML solutions from data cleaning to production.