Spearheaded the development of a robust sentiment analysis model to analyze customer reviews of Amazon Alexa products. Conducted thorough data cleaning and preprocessing to ensure high-quality input data for the machine learning and neural network models. Achieved an impressive accuracy rate of approximately 94% on sentiment prediction, demonstrating the effectiveness of the developed model in accurately categorizing sentiments as positive or negative.
This project exemplifies my proficiency in data preprocessing, machine learning, and neural network modeling, as well as my ability to deliver impactful solutions that leverage advanced techniques to extract insights from unstructured textual data.