GitHub - Ike-Icon/Data_Analyst_profile_section

Hi there, I'm Isaac 👋

🚀 About Me

I'm a data analyst with a strong passion for turning raw data into meaningful insights that drive better decisions. I enjoy transforming complex, messy datasets into clear stories and actionable insights.

My focus is on:

Building dashboards that are not just красив but actually used
Automating repetitive data tasks to improve efficiency
Extracting insights that help businesses understand trends and make smarter decisions

With a background in Applied Technology and software development, I bring a problem-solving mindset and technical depth to every dataset I work with.

When I'm not working with data, I enjoy working out, playing video games, reading, and exploring new tech skills. I’m especially driven by that “aha!” moment when data reveals something powerful and useful.

🏆 Check Out My Full Portfolio Website

🔭 Projects

RFM Customer Segmentation Analysis (SQL + Power BI): Segmenting customers based on purchasing behavior to drive smarter business decisions.
- Performed RFM (Recency, Frequency, Monetary) analysis on customer transaction data
- Built using SQL in Google BigQuery, leveraging window functions and aggregations
- Delivered actionable customer segments through an interactive Power BI dashboard
Credit Card Fraud Detection (SQL + Power BI): Detecting fraudulent transactions through pattern analysis and interactive visualization.
- Explored credit card transaction data to detect fraudulent behavior
- Analyzed patterns in transaction amount, time, and risk indicators
- Used BigQuery for data transformation and Power BI for an interactive fraud analysis dashboard
Data Cleaning Automation (Python): Creating reusable scripts to clean and prepare datasets efficiently

🌱 Currently Learning

Advanced Power BI & Tableau dashboard design
Improving SQL query optimization and data modeling
Exploring data analytics best practices for real-world business problems

🎯 Career Goal

I am actively seeking remote Data Analyst opportunities where I can contribute to data-driven decision-making and deliver real business value through analytical thinking and clean, insightful reporting.