At Syntalix, I built sentiment analysis models to classify text as Positive, Negative, or Neutral, improving real-world text understanding accuracy.
I developed a customer churn prediction model using historical data that achieved 90% accuracy and supported customer retention strategies.
For DeepLang Classifier, I designed a CNN-based language detection system that improved short-text accuracy by 28% and reduced ambiguity errors by 35%. I also implemented multilingual preprocessing pipelines, achieving a 0.91 F1-score on noisy datasets.
I built a client-server chat application using Java and TCP sockets, with reliable communication and concurrent client handling. I’m pursuing a Bachelor of Technology in Computer Science at Malla Reddy College of Engineering and Technology.
