Sales Leads Evaluation

#Finance

Org provides functions to classify, evaluate, and prioritize leads from a website using predictive models.

Machine Learning

Impact

We have got 85% accuracy on our test set for the task of classifying leads. We evaluated leads from the site based on the information available and predicted which leads were more perspective, to use the models to evaluate leads automatically and process the most perspective leads immediately.

Services we provided

Algorithm to predict the hottest lead for sale processes

API and AWS deployment

Tech Stack

Python

Scikit-Learn

Challenges and Solutions

🧐 Challenges

Evaluate leads based on Linkedin information.

💡 Solutions

We developed ML models based on NLP tech and classical DS algorithms to predict the leads with the biggest potential.