Software Developer | Programmer

1) Leveraged natural language processing techniques to build and deploy a robust machine learning model, achieving 85% accuracy in sentiment analysis.
2) Analyzed user sentiments, which resulted in 20% increase in customer satisfaction and 15% boost in brand reputation.
3) Tech stack used: Python, NLTK, Web Scraping, Pandas, Text Preprocessing, SVM, Scikit-learn, Machine Learning

1) Leveraged natural language processing techniques to build and deploy a robust machine learning model, achieving 85% accuracy in sentiment analysis.
2) An

Sentiment Analysis

1) Leveraged natural language processing techniques to build and deploy a robust machine learning model, achieving 85% accuracy in sentiment analysis. 2) An