- Worked with a team of 11 data scientists to develop a NLP (Natural Language Processing) pipeline with a time-series model and a tableau dashboard to help client understand search trends within categories
- Conducted EDA by vectorizing search queries using Word2Vec and OpenAI API to generate themes through K-Means Clustering
- Forecasted future search queries using ARIMA modeling, XGBoost, and LSTM Neural Networking
- Increased user engagement by 26% by forecasting future search queries in producing user-centric content