On the Type II Exponentiated Half-Logistic Exponential Distribution with Applications to Hydrological and Financial Data
Published by
Scientific Africa
Okechukwu Chinyere Perpetua
Statistical Researcher | Data Scientist | Academic Technologist
Awka, NG.About
Highly accomplished Statistical Researcher and Data Scientist with over eight years of expertise in advanced statistical modeling, applied data analytics, and academic research. Proven ability to develop reproducible analytical pipelines using Python and R, backed by 14+ peer-reviewed publications across diverse domains including machine learning, survival analysis, and epidemiological modeling. Seeking to leverage rigorous statistical methodology to solve complex real-world problems and drive impactful insights for target roles in statistical research, data science, and academia.
Work
Independent
|Quantitative Research Consultant
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Summary
Led independent quantitative research initiatives, developing and applying advanced statistical models to solve complex problems across economic, health, and social science domains.
Highlights
Developed and applied sophisticated statistical models, including regression analysis, survival analysis, panel econometrics, and machine learning pipelines, for academic manuscripts across economic, health, and social science domains.
Built end-to-end Python analytical workflows, integrating advanced data processing, modeling (OLS, logistic regression, Random Forest, XGBoost, SHAP), and generating publication-quality outputs.
Provided expert statistical peer review for journal manuscripts in applied statistics and quantitative methods, ensuring methodological rigor and quality standards.
Co-authored numerous research papers on probability distributions, forecasting, and epidemiological modeling, contributing to international peer-reviewed journals.
Abia State Polytechnic
|Technologist II - Department of Statistics
Aba, Abia State, Nigeria
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Summary
Managed academic and research support for the Department of Statistics, delivering lectures, supervising student projects, and providing statistical consultancy.
Highlights
Delivered engaging lectures and practical sessions in statistics, research methods, and software tools including Python, R, SPSS, and advanced Excel, significantly enhancing student learning outcomes.
Supervised over 20 student research projects annually, providing comprehensive guidance from proposal development through final defense.
Provided critical statistical analysis and consultancy support for research activities conducted by academic staff, facilitating successful project completion and publication.
Managed departmental computing laboratories, ensuring optimal functionality and support for student and faculty data analysis work.
College of Education, Ekiadolor
|NYSC Teaching Assistant
Ekiadolor, Edo State, Nigeria
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Summary
Facilitated academic support and evaluation in statistics and quantitative methods for students at the College of Education.
Highlights
Facilitated tutorial sessions, improving student comprehension and performance in core statistics and quantitative methods.
Supported academic evaluation processes, contributing to fair and accurate assessment of student progress and learning.
Education
Lovely Professional University
Phagwara, Punjab, India
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M.Sc.
Statistics and Data Analytics
Courses
Genetics
Bioinformatics
Nnamdi Azikiwe University
Awka, Anambra State, Nigeria
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Postgraduate Diploma
Statistics
Abia State Polytechnic
Aba, Abia State, Nigeria
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Higher National Diploma
Statistics
Grade: Distinction
Courses
Biostatistics
Demography
Abia State Polytechnic
Aba, Abia State, Nigeria
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National Diploma
Statistics
Grade: Distinction
Publications
AI-Powered Mortality Prediction for HIV/AIDS Patients on ART
Published by
Boletim da Sociedade Paranaense de Matemática
On the Estimation of the Wald Distribution Parameters with Diverse Applications
Published by
Boletim da Sociedade Paranaense de Matemática
Predictive Modelling of ART Patient Status Using Machine Learning: A Comparative Study of Classification Algorithms
Published by
IEEE Conference Proceedings
A New Unit Family of Distributions with Applications to Public Health, Environmental, and Financial Data
Published by
Applied Mathematics & Information Sciences
Burr III Scaled Inverse Odds Ratio-Rayleigh Distribution for Modeling Asymmetric Engineering, Disease Surveillance and Epidemiological Data
Published by
Applied Mathematics & Information Sciences
Comparative Analysis of Parametric Survival Models in HIV Patient Data
Published by
International Journal of Statistics in Medical Research
Summary
First published: 30 December 2025; WOS/Scopus indexed: 23 February 2026.
A Comparative Study of Machine Learning and ARIMA Models for Inflation Forecasting in Nigeria
Published by
IEEE ICICV Conference
Summary
ISBN: 979-8-3315-1174-6.
Parameter Estimation and Hybrid Modeling of the Wald Distribution for Financial Data Forecasting
Summary
[Accepted as Book Chapter]
Hybrid Time Series and Machine Learning Models for Food Price Forecasting in Nigeria
Summary
[Accepted]
Bootstrapped Kolmogorov-Smirnov Confidence Intervals for Evaluating and Calibrating Machine Learning Classifiers: Application to Monkeypox Prediction
Summary
[Accepted]
COVID-19 Mortality Modelling: UK, Canada and Spain
Published by
Journal of Xidian University
Summary
Volume 17(11).
Statistical Analysis of Malaria and Typhoid Cases in Enugu, Nigeria
Published by
Global Scientific Journal
Summary
Volume 11(6). ISSN: 2320-9186.
Estimation in Power Size-Biased Chris-Jerry Distribution
Published by
International Journal of Innovative Science and Research Technology
Summary
Volume 8(5). ISSN: 2456-2165.
Languages
English
Igbo
Certificates
ALX Career Essentials in Artificial Intelligence
Issued By
ALX Africa
3MTT Data Science Certificate
Issued By
Three Million Technical Talent Programme, Nigeria
Skills
Programming Languages
Python, R.
Statistical Software
SPSS, Stata, SAS, EViews, Minitab, S-PLUS, TORA.
Modeling & Analytics
Regression Analysis (OLS, Logistic, Panel), Survival Analysis, Time Series (ARIMA), Machine Learning (Random Forest, XGBoost, SHAP), Probability Distribution Theory.
Data Manipulation & Visualization
Pandas, NumPy, Matplotlib, Seaborn, ggplot2, Power BI, Advanced Excel.
References
Academic Referee
Available upon request.