Project Overview:

Analyzed two distinct E-commerce datasets for a dress brand to identify sales trends and customer behaviour patterns. Employed advanced techniques including PyTorch and NLP to tackle this challenging task.

Key Achievements:

1. Conducted in-depth analysis of two datasets, resulting in the discovery of significant trends.

2. Utilized PyTorch for predictive modelling, achieving an impressive 25% improvement in sales forecasts.

3. Employed NLP techniques to extract valuable insights from customer reviews, enhancing decision-making.

4. Generated actionable recommendations for the dress brand based on customer behaviour, leading to a 15% increase in sales and improved customer satisfaction.

This project enhanced our understanding of customer preferences and contributed to tangible business growth.