Customer Churn Prediction in Telecom
Developed and implemented predictive analytics models for customer churn - Machine Learning using Python
Customer Churn Prediction in Telecom
Click-Through Rate (CTR) project
Measured the click-through rate by comparing the number of clicks on an ad within the payment app to the number of impressions it received.
Profit Forecasting of the online store project
The project aimed to employ time series forecasting techniques to predict sales and profit, leveraging the patterns and characteristics extracted from the time series analysis of the superstore's historical data.
E-Commerce sales (Customer-Centric Business Intelligence)
Conducted customer segmentation to optimize marketing strategies and uncover insights into sales trends, customer behavior, and product popularity for the business specializing in unique products.
Twitter Sentiment Analysis - Big Data project
Selected the topic 'Black Friday' and analyzed user sentiment (positive, negative, neutral) along with exploring the relationship between followers and tweets for the top 10 users.
SQL projects
In these projects, the business concerns are addressed with SQL queries ranging from basic to advanced.