Asawer Analytics
Portfolio · Analytics Projects · Case Studies

Selected data projects with clear business insight.

A collection of analytics projects focused on data cleaning, exploration, dashboards, customer behavior, market analysis, and practical recommendations.

Excel Reporting SQL Analysis Python Automation Dashboard Design Data Cleaning Business Insights Excel Reporting SQL Analysis Python Automation Dashboard Design
GameCo project image
01

GameCo

Global Market Analysis of Video Game Sales

GameCo, a video game developer, wants to use sales data to understand market trends and guide the creation of future games.

  • Which game genres perform best across markets?
  • Which publishers are the strongest competitors?
  • How do regional sales patterns change over time?
Market Analysis Excel Visualization
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02

Rockbuster Stealth

Online Movie Rental Strategy

Rockbuster Stealth wants to launch an online video rental service and needs insight into customers, revenue, and regional performance.

  • Which movies contributed the most and least revenue?
  • Where are high-value customers located?
  • Do sales figures vary between geographic regions?
SQL Customer Analysis Revenue
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Rockbuster Stealth project image
Influenza project image
03

Preparing for Influenza Season

Medical Staffing Planning

This project supports healthcare staffing decisions by analyzing seasonal influenza patterns and population-risk data.

  • Which locations may need additional medical staff?
  • When should staffing support be increased?
  • How can planning reduce pressure during flu season?
Forecasting Planning Public Data
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04

Instacart

Customer Segmentation Analysis

Instacart wants to better understand customer behavior and create more targeted marketing strategies based on purchasing patterns.

  • What days and hours are busiest?
  • Which products are most popular?
  • How do ordering habits differ by customer segment?
Python Segmentation Customer Behavior
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Instacart project image
Pig E. Bank project image
05

Pig E. Bank

Customer Churn Analysis

This project analyzes customer satisfaction and churn risk to help identify customers who may be most likely to leave.

  • Which factors contribute to customer attrition?
  • Which customers are at higher churn risk?
  • How can retention strategies be improved?
Churn Analysis Risk Factors Retention
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