Customer Analysis using Tableau
- Created a comprehensive data model by integrating various datasets, including transactional and demographic data.
- Used Tableau's powerful analytics features to conduct cohort analysis, RFM segmentation, and predictive modeling.
- Created dashboards that play crucial role in informing strategic marketing decisions.
Sentiment Analysis and Prediction
- Worked on extensive data preprocessing and dataset preparation.
- The data engineering process involved handling missing values, text tokenization, and sentiment labeling.
- Implemented machine learning libraries such as NLTK and Scikit-learn to develop sentiment analysis models.