I am a passionate Machine Learning Engineer with a strong foundation in Python, data preprocessing, and algorithm design. With hands-on experience in building and deploying predictive models for real-world applications—like fraud detection, churn prediction, and sentiment analysis—I specialize in transforming complex datasets into actionable insights. I have worked with libraries such as Scikit-learn, TensorFlow, Keras, and NLTK, and possess a keen eye for model evaluation, optimization, and feature engineering. My experience spans across end-to-end ML pipelines, including data collection, cleaning, training, hyperparameter tuning, and model deployment. I thrive in collaborative environments where innovation meets impact and am constantly evolving with the latest in AI and ML research to deliver intelligent, scalable solutions.