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1. Data-Analytics-Customer-Segmentation Data-Analytics-Customer-Segmentation Public

   In this project, a RFM model is implemented to relate to customers in each segment. Assessed the Data Quality, performed EDA using Python and created Dashboard using Tableau.

   Jupyter Notebook 64 19

2. Real-Time-Delta-Lake-with-Pyspark Real-Time-Delta-Lake-with-Pyspark Public

   Batch & streaming data pipelines built using Databricks with Pyspark and modeled the data into star schema to analyze in PowerBI, Formula-1 racing data from multiple data sources, APIs.

   Python

3. Smart-Agent-Recruitment Smart-Agent-Recruitment Public

   A machine learning project to predict whether an agent will be able to source business after corporate training. A Power BI dashboard is developed to capture past trends.

   Jupyter Notebook 2

4. Retail-Strategy-and-Analytics Retail-Strategy-and-Analytics Public

   Establishment of control stores based on their performance compared to selected trial stores to increase the retail chain of stores and enhance sales revenue.

   Jupyter Notebook 3

5. Credit-Card-Lead-Prediction Credit-Card-Lead-Prediction Public

   A machine learning model to predict whether a customer will be interested to take up a credit card, based on the customer details and its relationship with the bank.

   Jupyter Notebook 5

6. Customer-Churn-Prediction-Model-with-XGBoost Customer-Churn-Prediction-Model-with-XGBoost Public

   The goal of this project is to develop a predictive model that will predict the customers likely to churn and propose a strategic perspective to decrease the churn rate.

   Jupyter Notebook 4 1