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automatidata-taxi-tip-prediction-model

Developed a machine learning model to predict whether taxi passengers 🚖 will give a generous tip (≥ 20%) 💸 based on trip and payment data. Utilized Python 🐍, Pandas 🐼, NumPy 🔢, Scikit-learn 🤖, and XGBoost 🚀 for data preprocessing, feature engineering, modeling, and evaluation.

credit-card-fraud-detection

cvip_internship

ecommerce-business

This repository contains a data analysis project for an international e-commerce company 🌐, focusing on sales performance 📈, customer behavior 🛍️, and product trends 📊. It includes data cleaning in Python 🐍 and visualization with Looker Studio 📊, aiming to optimize marketing and inventory strategies for revenue growth 💰.

food-delivery-app-data-analysis

In our Zomato dataset journey 🍽️, we've refined data to its peak. Using Excel 📈 and Python 🐍, we meticulously cleaned restaurant names with regular expressions 🔍, ensuring authenticity. Our 'zomatocleaned.csv' now captures the true dining essence 🍴, showcasing our commitment to culinary precision 👨‍🍳.

medical_dataset_analysis

Explore the world of healthcare data analysis with Python 🐍 and SQL 🗄️. This project delves into three key medical datasets 🏥, uncovering trends and insights that can revolutionize healthcare decision-making and resource optimization 📊.

mitron-bank-analysis

Mitron Bank 🏦 plans to introduce new credit cards 💳. Strategy director Mr. Bashnir Rover 🚀 wants a pilot project with data from 4000 customers. Peter Pandey 📊, a data analyst at AtliQ Data Services, must analyze this data and deliver impressive, data-driven recommendations to meet Mr. Rover's expectations 🌟.

promotion-analysis-for-atliq-mart

Atliq Mart 🛒, a prominent retail giant with over 50 supermarkets in the southern region of India, conducted a large-scale promotion during the festive seasons of Diwali 2023 🪔 and Sankranti 2024 🪁 on their Atliq branded products.

restaurant-order-analysis

As a Data Analyst at Taste of the World Cafe 🍽️, I analyzed customer data to assess new menu items. The menu has 32 items 🍲, with the most expensive being Shrimp Scampi at $20 💸 & the least expensive Edamame at $5 🥢. Popular items included the Hamburger (622 orders) 🍔 & Cheeseburger (583 orders) 🍔. High-spend orders favored Italian cuisine 🍝

shop_customer

sql_exploration_world_bank_loan

strategic-marketing-for-personal-loans-using-sql

In this project, Thera Bank 🏦 aims to enhance its marketing strategies 📈 using data-driven customer segmentation techniques 📊. By analyzing demographic, financial, and behavioral data, the bank plans to identify customer groups more likely to convert from liability customers to personal loan customers 💼.

superstore-sales-profit-loss-analysis

I specialize in data analysis and visualization 📊, leveraging advanced Excel techniques 📈 to uncover actionable insights. Experienced in creating interactive dashboards 💻 and conducting in-depth analysis, I excel at transforming complex data into clear, strategic insights that drive business decisions 🚀.

telangana

zeyamosharraf