About Me

A data analyst specialising in product and operational analytics. I work with SQL, Python, and Power BI to turn messy, large-scale datasets into decisions that actually get acted on. I have analysed everything from 100K+ trial user records to weekly operational workflows to finding the churn drivers, cost inefficiencies, and activation gaps that are not obvious until someone goes looking. That is the part I enjoy most. I am available for remote roles globally, and currently open to full-time data analyst opportunities.

DOWNLOAD RESUME

+ 10

Projects Done

+ 600

GitHub Commits

Certifications

Diploma in Data & Business Analysis

Jobaaj Learnings

IBM Data Science Professional Certificate

IBM

Generative AI for All

IBM

Projects

Trial Activation & Conversion Analysis

Python
Statistical Tests
Funnel Analysis
Random Forest
Engagement Analysis

Heart Health Analysis

EDA
Python
Power BI
Data cleaning
Correlation Analysis
Dax

Telecom Customer Churn Analysis

Python
Data cleaning
Predictive analysis
DAX
Visualization
Power BI

Retail Sales & Customer Behavior Analysis

Excel
Power BI
Data cleaning
Python

Credit Card Weekly Status Analysis

Power BI
Data cleaning
Credit Card analysis

Ecommerce and Retail Store

Python
PowerBI
PowerPoint
Excel
Sklearn
Pandas
Matplotlib

Porter Food Delivery Analysis

Excel
Power BI
Data cleaning
Dax
Visualization

Google Play Store Analysis

Excel
Power BI
Tableau
LookerStudio
Data cleaning

Skills

Analysis

Excel

SQL

Python

Pandas

Matplotlib

Numpy

Scikit-Learn

Visualization

Power BI

Tableau

Looker Studio

Tools

Git

GitHub

Web Scraping

Other Skill

React

Tailwind

Javascript

CSS

HTML

Experience

2025 - Present

JOBAAJ LEARNING

Data Analyst

Analyzed datasets using Python, SQL, and Excel to uncover trends and patterns that informed reporting and visualization.
Used SQL and Power BI to examine turnaround times, task completion rates, and cost patterns, surfacing actionable insights for stakeholders.
Design and maintain dashboards to monitor operational performance and flag workflow bottlenecks in real time.
Clean and validate datasets by resolving missing values, duplicates, and formatting inconsistencies, improving overall reporting accuracy.
Identified inefficiencies in task allocation and workflows, contributing to a 10% reduction in project costs.

December 2024 - April 2025

ERA TECHNOLOGIES

Junior Data Analyst

Cleaned and structured 2,000+ weekly operational records using SQL and Excel, resolving duplicates and inconsistent formatting to ensure data integrity.
Built Power BI dashboards using star schema modelling and DAX measures to track the full task lifecycle from assignment through to completion.
Analysed operational data to pinpoint delays in task completion and cost inefficiencies across workflows, delivering targeted recommendations.
Performed data validation checks (null values, duplicates, and referential integrity) to improve KPI reporting reliability.
Weekly reporting using Excel Power Query, reducing manual reporting effort by 3 hours per week.

Feb 2023 - May 2023

OCTAVE INCORPORATIONS

Data Analyst Intern

Cleaned and validated datasets using Excel and Power BI, resolving missing values, duplicates, and formatting inconsistencies to ensure data quality ahead of analysis.
Applied data modelling techniques in Power BI to structure datasets for reliable, consistent reporting.
Explored datasets to identify trends, patterns, and outliers using Excel and Power BI, helping uncover insights from the data
Built interactive Power BI dashboards and visual reports to communicate findings clearly to non-technical stakeholders.

ENWELUM CHIAMAKA

Scroll For More