Developed an NLP-based system using BERT to classify search queries into relevant topics. Built an end-to-end pipeline for data ingestion, model training, and real-time inference.
Created an AI-driven sentiment analysis model to evaluate stock-related discussions and predict trends based on user emotions. Also applied similar techniques for e-commerce sales forecasting.
Built a system to process 100M+ monthly data points from Google SERP, using clustering algorithms and machine learning models to forecast keyword trends.