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followers: 41.0 following: 6.0 repos: 17.0 gists: 0.0

Name: Mukul Singhal

Type: User

Bio: Not an IITian, Not a B.Tech, Not a CS Student. šŸ‘Øā€šŸŽ“ But a Commerce Passout. Enjoying Marketing Data Analytics ...!!! šŸ‘©ā€šŸ’»

Twitter: imukul_singhal

Location: India

Hi there šŸ‘‹

My name is Mukul Singhal.. šŸ‘¦

  • šŸ”­ Iā€™m currently working as Analyst III @ MiQ.
  • šŸ™Œ Iā€™m looking to collaborate on Marketing & Data Analytics.
  • šŸ’¬ Ask me about ... Online Marketing, Marketing Analytics, App + Web Analytics, SEO, PPC, SEM, SMO, Email Marketing, etc.
  • šŸ“« How to reach me: ... Twitter - @imukulsinghal
  • šŸ“Š Tableau Public - Tableau Public - Mukul Singhal
  • šŸŒˆ Data Studio Sample Dashboards - Sample Dashboard
  • Metabase Sample Dashboard - Sales Dashboard

Mukul Singhal's Projects

customer-lifetime-prediction-using-python icon customer-lifetime-prediction-using-python

What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.

lead-scoring-model-python icon lead-scoring-model-python

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.

regression icon regression

A dedicated repository to all the regression based models.

sms-spam-classification-nltk icon sms-spam-classification-nltk

In this repository, I am sharing the SMS Spam Detection Classification Model using Ridge Classifier with 99% train accuracy and 98% test accuracy with Hyperparameter Optimization & Class Weight.

usa-housing-price-prediction icon usa-housing-price-prediction

In this project I have implemented 14 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.

web-scraper-seo icon web-scraper-seo

In this repository, I am sharing the Web Scraper for SEO Marketers in which they can extract metadata from the websites whether it's a static website or a Javascript-based website.

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