Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we are going to take a look at the UpGrad lead scoring case study and see how can we solve this problem through several supervised machine learning models.

Lead Scoring: Optimizing SaaS Marketing-Sales Funnel by Extracting the Best Leads with Applied Machine Learning

An end-to-end enterprise-grade example of working a data science problem.

Typescript library to access Faraday's API infrastructure for B2C predictions https://www.npmjs.com/package/@fdy/faraday-js

Building a end-to-end lead scoring machine learning example with Jupyter, Sagemaker, MLflow, and Booklet.ai.

In this project, I leverage machine learning models including Logistic Regression, Decision Tree, Random Forest, XGBoost, CatBoost, and LightGBM to predict customer lead scoring. I apply WOE and SHAP for feature selection and use Optuna for hyperparameter turning, aiming to identify potential lead customers effectively.

Trained a model that estimates if a lead is likely to be converted based on lead behavior in historical customer data using ML.

An Automated Lead Management and CRM do star It If you like It.

A Logistic Regression project

B2B Lead Intelligence Platform

Lead Scoring Case Study using Logistic Regression

Unified AI chatbot handling voice, text, and image across WhatsApp, Instagram & Facebook for a crypto mining retailer. Real-time ASIC scraping, Pinecone RAG, conversational lead scoring, and hot lead routing. Handles 700–900 leads/month with 20% conversion lift.

The second iteration of Cuana, an E2E customer analytics solution for churn/CLV prediction, segmentation & lead scoring

Multi-agent AI system for Notion CRM that scores, researches, and prioritizes leads automatically.

Predictive lead scoring for corporate loan data

ML-powered lead scoring with SHAP explainability. FastAPI + Streamlit. Deployed on GCP Cloud Run.

Help sales teams send the right content at the right moment. This n8n workflow automation analyzes deal context from Zoho CRM, uses GPT-4o-mini to recommend personalized content and delivers suggestions via Gmail. A smart n8n workflow template for improving deal relevance, follow-ups and close rates.

15 production-ready n8n workflow templates powered by Ollama (local AI). Email automation, lead scoring, content generation, RAG, chatbots, and more. No API keys needed.

Search Google Maps for business leads. Filter by website, reviews, rating. Score with AI. Check site quality. Find emails. Manage pipeline. Export to CSV.