Google Ads Analysis

I conducted a comprehensive analysis of the provided Google Ads data set to identify optimal strategies for maximizing profitability, including the most profitable Campaign, Keyword, and Location. Additionally, I presented detailed monthly and weekly reports based on Spends and Returns %

Bank Customer Churn-ML

This project aims to use machine learning techniques to analyze customer data from a bank and predict the likelihood of customers churning (leaving) the bank or is likely to remain loyal.

Movie Recommendation System

Created a Recommendation system that combines content-based and popularity-based filtering techniques to provide personalized movie recommendations to users.

SMS Spam Detection

Built a robust SMS spam classification model using One Hot Encoding and Tf - Idf Vectorization. Achieved an 89% accuracy rate in distinguishing spam from legitimate messages.

Car Price Prediction

This project aims to estimate the price of a used car based on its features and characteristics using machine learning techniques.

Telco Customer Churn

This project aims to predict the reason for the loss of customers in a telecom company.

Credit Card Transaction Fraud Detection

This project aims to predict Credit Card Transaction Fraud using past data and user behavior. By applying machine learning algorithms to analyze historical transaction data and identify patterns indicative of fraudulent activities, the goal is to build a model that accurately classifies transactions

PowerBi-Bank_customer_churn

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