About

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I am a results-driven Data Analyst and Engineer with a passion for transforming complex datasets into actionable business intelligence. With a strong foundation in Python, SQL, and Machine Learning, I specialize in uncovering hidden patterns in consumer behavior and operational workflows.

Beyond the code, I bridge the gap between technical complexity and stakeholder needs. I thrive on building interactive visualizations in Tableau and Power BI that allow businesses to track KPIs and identify growth opportunities in real-time.

Projects

Project 1
Automotive Sales Performance Audit

This project is a comprehensive end-to-end audit of over 1 million automotive sales records. The goal was to identify lifetime value, salesperson consistency, and regional revenue trends using a robust data pipeline.

Blog Post Source Code
Project 2
Customer Churn Analysis

Customer Attrition Prediction | Machine Learning Built an end-to-end ML pipeline in Python to predict subscriber churn with 79% accuracy.

Blog Post Source Code
Project 3
Data Science Job Market Insights

A data-driven exploration of the modern DS landscape. I analyzed global roles to pinpoint peak compensation trends, the most in-demand technical skills, and the optimal intersection of innovation and high-tier salary growth.

Blog Post Source Code
Project 4
Online Retail Analysis

This project involved a comprehensive analysis of an Online Retail dataset to move beyond basic sales reporting and into Data-Driven Marketing Strategy. By leveraging Python and Machine Learning, I transformed raw transactional data into actionable customer segments.

Blog Post Source Code

Skills

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Excel

Mastered advanced data manipulation using Pivot Tables, VLOOKUP/XLOOKUP, and complex formulas to clean and organize raw data. Through Alex The Analyst’s curriculum, I learned to transform messy spreadsheets into structured datasets ready for analysis and reporting.

Link to Alex The Analyst Excel Series
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Python

Built a strong foundation in Python for data science, focusing on the Pandas and NumPy libraries for data cleaning and exploration. I’ve applied these skills to automate repetitive tasks and perform advanced statistical analysis, as demonstrated in my GitHub repositories.

Python for Data Analytics series by Luke Barousse
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SQL

Proficient in writing complex queries to extract and analyze data from relational databases. I have experience with Joins, CTEs, Window Functions, and Data Cleaning directly within SQL, enabling me to handle large-scale datasets efficiently.

SQL for Data Analysis by Luke Barousse
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Tableau

Specialized in creating interactive, high-impact visualizations that tell a story. By following Alex’s project-based tutorials, I learned how to build comprehensive dashboards that allow stakeholders to track KPIs and uncover business trends at a glance.

Link to Alex The Analyst Tableau Series

Contact Me

✉ clipking19official@gmail.com
WhatsApp +2348163203475