Hi, I'm Chibueze Igiligi
AI-Augmented Data Analyst | Excel, SQL & Python
I build data-driven solutions that matter. From tracking waste in Enugu with ESWaT to transforming data into clear insights, I believe technology should serve people all around the world.
About Me
I'm an early-career data analyst with 1.5+ years of combined experience in data cleaning, validation, reconciliation, and reporting across government, education, and private-sector projects. At Enugu State Waste Management Authority (ESWAMA), I cleaned and validated a master database of 180,000+ records, removed 5,000+ duplicate entries to improve billing accuracy, and co-architected the state's automated billing system. I use Excel, SQL, and Python (AI-assisted development) to turn messy data into structured, actionable reports, and I build working web tools to solve operational problems.
My Projects
Enumerator Dashboard — Simplicity That Drove +13.9% Growth
Clean, focused, results-driven design
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📈 A simple dashboard that drove +13.9% growth
Key Achievements:
- 3,408 total enumerations tracked through the dashboard
- 1,449 enumerations this week, up +13.9% vs last week
- 6 days above target with the best day hitting 454 enumerations
- Simplicity as strategy, clean, focused, results-driven design
The Lesson: Simplicity isn't a weakness. It's a strategy. A dashboard isn't judged by how complex it looks, it's judged by the decisions it drives.
Tools & Approach: Excel, clean data visualization, focused KPIs, iterative design based on field feedback.
💡 Simplicity isn't a weakness. It's a strategy.
DataCo Supply Chain EDA & Data Cleaning
From Messy Data to Actionable Insights with Python
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📦 Walkthrough of the DataCo Supply Chain EDA - cleaning 180,519 rows of messy data with Python
In this video, I walk through my Exploratory Data Analysis (EDA) and Data Cleaning process on the DataCo Supply Chain dataset using Python and Jupyter Notebook.
Key Achievements:
- Removed 19 irrelevant columns - streamlined from 53 to 34 columns
- Renamed 34 columns for clarity and SQL-readiness
- Zero duplicates and minimal missing values confirmed
- Extracted time-based features (year, month, quarter, day of week)
- Mapped global order distribution to visualize business footprint
Challenge Identified: Using scatter plots and map views, I discovered that some locations in the dataset have incorrect latitude and longitude coordinates — an issue I plan to investigate further.
Tech Stack: Python, Jupyter Notebook, Pandas, NumPy, Matplotlib, Seaborn
💡 Lesson: Great analysis starts with great data prep.
📊 Nigeria Top JAMB Scores Performance (2017–2026)
JAMB Top Scorers Dashboard
10-Year Analysis: The Steady Rise of Top UTME Scores (2017-2026)
An interactive dashboard analyzing Nigeria's top JAMB scores over a decade, revealing performance trends, state dominance, and university preferences of high-achieving students.
Key Insights:
- Anambra State leads with 4 top scores, followed by Ondo and Ekiti (2 each)
- Record growth: Peak performance of 375 achieved in 2025
- UNILAG is the #1 preferred university destination for top scorers
- Upward trend: Scores rose from 353 (2017) to 375 (2025)
Tool Used: Excel
🗑️ Enugu Smart Waste Tracker (ESWaT)
AI-Powered Waste Management System
Live dashboard showing waste hotspots in Enugu State
A real-time waste management web app helping ESWAMA track overflowing bins and open dumping sites in Enugu State. Features AI-powered waste classification with 96% accuracy.
Tech: React, TypeScript, TensorFlow.js, OpenStreetMap, Leaflet, Google Sheets, Google Apps Script
Recognition: 🏆 WINNER of 3MTT NextGen Challenge (Enugu State)
🌐 Dbay Network Business Website
Interactive Platform with Automated Onboarding and Payment Integration
Dbay Network website — automated dealer/agent onboarding and payment integration
Rebuilt a telecom company's digital infrastructure into an interactive platform with automated dealer/agent onboarding, integrated payment gateway, and real-time lead tracking.
Key Achievements:
- Reduced manual data entry by 39% through automated digital forms
- Linked custom front-end forms to a Google Sheets backend, creating a real-time database for lead tracking and registration
- Integrated a secure payment gateway for dealer and agent transactions
- Improved user engagement through SEO and product analytics
Tech: React, TypeScript, Google Sheets, Google Apps Script
🎓 Recognition & Achievements
- 🏆 WINNER – 3MTT NextGen Challenge (Enugu State)
- First-Class Honours, Civil Engineering (Best Graduating Student)
- Legit.ng Feature – "From Civil Engineering to Tech"
- 3MTT Nigeria – Data Analytics Fellow
- TechCrush AI/ML Scholarship – Current Scholar
- NJFP Fellow – Nigerian Jubilee Fellows Programme
- 451 Alliance Member – S&P Global IT Research Think Tank
📜 Certifications
Artificial Intelligence/Machine Learning
TechCrush E-Learning
Issued: 2026🔗 Verify on TechCrush Cert ID: TEC-7F8CF780
🛠️ Skills & Tools
👆 Click on any skill to learn more about my experience
💬 What People Say
"Chibueze built a functional waste management app in 10 days. His problem-solving skills and execution are impressive. He identified a real community problem and delivered a working solution."
"A first-class graduate who doesn't just learn but builds. His dedication to solving real problems in Enugu through data is inspiring."
📝 Blog & Insights
Coming soon! I'll be sharing my journey, tech learnings, and thoughts on data, AI, and innovation.