I am a results-driven data scientist and machine learning engineer with over 3 years of experience designing, building, and deploying end-to-end ML solutions. I excel at Python, predictive modeling, deep learning with TensorFlow and Keras, and modern architectures like Transformers. I translate complex business problems into data-driven strategies that improve operational efficiency, drive revenue growth, and inform decision-making across healthcare, marketing, and retail.
My toolkit includes Python, SQL, and a wide range of ML libraries (Pandas, NumPy, Scikit-Learn, TensorFlow, Keras, NLTK) plus visualization tools (Power BI, Tableau). I have hands-on experience deploying end-to-end ML pipelines, building personalization and recommendation systems, and applying NLP and sentiment analysis to real-world applications.
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