Chinenye J. Orji

Data Analyst & Statistical Specialist

Email: jenniferudenweze@gmail.com

Location: Coomera, QLD

Phone: +61 414 972 072

Professional Summary

An results-driven Data Analyst with extensive experience in institutional research and statistical reporting. I leverage advanced expertise in Python, R, and Power BI to transform large datasets into actionable strategic intelligence. My background in the public sector has cultivated a rigorous approach to data integrity, quantitative analysis, and stakeholder communication.

Technical Core Competencies

Statistical & Programming

Python (IT Specialist Certified)
Statistical Modeling (SPSS, SAS, R)
SQL Database Development
Advanced Microsoft Excel (VBA/Macros)

Visualization & Reporting

Power BI & Tableau Dashboarding
Survey Design (KoBoToolbox, SPSS)
Technical Documentation
Data Cleansing & ETL Processes

Professional Experience

Data Analyst | National Bureau of Statistics 2016 – 2018

Led data cleaning and validation processes for multi-sectoral demographic surveys.
Utilized SPSS and R to conduct correlation analysis and trend forecasting for national bulletins.
Collaborated with government ministries to translate complex statistical abstracts into executive summaries.
Monitored field data collection to ensure strict adherence to quality control protocols.

Key Outcome: Automated complex reporting templates using Excel VBA, reducing monthly preparation time by 40%.

Data Analyst | Nigerian College of Aviation Technology 2015 – 2016

Developed and maintained a centralized SQL database for student enrollment and academic performance tracking.
Conducted deep-dive analyses into graduation rates to identify factors impacting student success.
Produced comprehensive statistical reports for annual institutional accreditation audits.
Trained administrative staff on data entry best practices to improve database integrity.

Key Outcome: Mitigated systematic data entry errors by 35% through the implementation of real-time validation protocols.

Educational Evidence & Currency

Master of Science (ICT) | University of the Sunshine Coast Expected 2026

Focus Areas: Advanced Data Science, Systems Analysis, and Cybersecurity. Currently applying theoretical knowledge to real-world cloud data architecture.

Professional Development

Information Technology Specialist: Python Development
Microsoft Certified: Security & Compliance Fundamentals (2025)
Fortinet Certified: Cybersecurity Fundamentals (2025)

Professional Work Samples

Interactive Sales Performance Dashboard

A dynamic Power BI interface designed to analyze regional sales efficiency and product performance trends.

Reflection on Learning This project taught me that data visualization is only as good as the underlying data preparation. I learned that 80% of the value comes from "cleaning" noisy data in Python before the visualization begins. I focused on "Outlier Detection," which provided more value to stakeholders than standard averages.

View Sales Documentation

Demographic Research & Statistical Analysis (NBS)

Institutional research document exported from SPSS, focusing on large-scale survey validation and demographic trends.

Reflection on Learning Working on this research at the National Bureau of Statistics taught me the critical importance of data integrity in large-scale studies. I learned how to apply complex sampling weights in SPSS to ensure findings were statistically representative and how to communicate high-level p-values to non-technical policy makers.

View SPSS Research Report