Isaac Asiedu | Data Analysis Portfolio

About Me

I am a passionate Data Analyst with a strong foundation in Python, Data Visualization, Spreadsheets, and SQL.

I specialize in cleaning and transforming messy datasets into structured and usable formats, building interactive dashboards that clearly communicate insights, analyzing trends and patterns to support business decisions, and automating repetitive data tasks using Python.

With a background in Applied Technology and software development, I bring both analytical thinking and technical problem-solving into every project.

My Projects

RFM Analysis

This project performs RFM (Recency, Frequency, Monetary) analysis on customer transaction data to segment customers based on their purchasing behavior and value. It was built using SQL in Google BigQuery, leveraging window functions and aggregations to generate actionable insights for business decision-making.

Documentation View Dashboard

Credit Card Fraud Detection

This project explores credit card transaction data to detect fraudulent behavior by analyzing patterns in transaction amount, time, and risk indicators. It leverages BigQuery for data transformation and Power BI to create an interactive fraud analysis dashboard.

Documentation View Dashboard

Retail Sales Dashboard Excel

Analyzed 31,237 sales orders for a clothing retailer using Excel pivot tables and slicers. Built a dashboard tracking $21.18M in revenue across product categories, sales channels, and customer demographics, then delivered five data-backed recommendations to improve targeting and reduce order cancellations.

Documentation View Dashboard

Technical Skillset

Data Visualization

Power BI
Excel Dashboards

Data Analysis

SQL
Advanced Excel
Python (Pandas)
Google Sheets

Data Modeling & ETL

Power Query (M)
DAX
Star Schema Design
ETL Processes

About Me

My Projects

RFM Analysis

Credit Card Fraud Detection

Retail Sales Dashboard Excel

Technical Skillset

Data Visualization

Data Analysis

Data Modeling & ETL

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