プロフィール詳細

プロジェクトを作成

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Olaniyan R.に依頼

Nigeria

Academic Research Analyst | Expert in Python, R, & SPSS | Statistical Modeling Expert

プロフィール概要

As an Academic Research Analyst and Applied Statistician with a Bachelor of Science in Statistics and current enrollment in a Master of Science program, I bring extensive statistical rigor and technical expertise to complex data challenges. My professional background is rooted in delivering data-driven research and business analytics, having successfully conducted over twenty academic projects across the health, business, and social science sectors. I possess deep expertise in advanced statistical techniques, including OLS, Logistic, and Generalized Linear Models, alongside practical machine learning experience in classification, clustering, and natural language processing. Currently, I am advancing the retail analytics field by developing an Adaptive Regime-Based Rolling Window Algorithm designed to identify structural breaks in sales data and improve the interpretability of influencing factors within specific regimes. My work at iPace Concepts as an Applied Data Analyst involves building regression models for customer behavior and financial inclusion to support operational decision-making for small and medium enterprises. Beyond my technical capabilities in Python, SQL, R, and Power BI, I am an award-winning journalist with the unique ability to translate intricate statistical outcomes into clear, actionable storytelling for non-technical stakeholders. I have also demonstrated leadership and commitment to capacity building through my role as a Data Science Instructor at Softrays Academy, where I developed curricula and mentored students in analytical reasoning and ethical data practices. This combination of rigorous academic research, innovative algorithmic development, and strategic business consulting allows me to provide high-impact insights backed by mathematical precision. The Adaptive Regime-Based Rolling Window Algorithm is a specialized analytical framework designed to navigate the limitations of traditional time-series models by explicitly accounting for structural breaks and non-stability in data. Unlike standard rolling window approaches that assume constant sample sizes or stable underlying patterns, this algorithm dynamically splits data into distinct regimes or windows based on identified "rises" and "drops" within the dataset. This regime-based segmentation is particularly transformative for the retailing sector, as it allows for a more granular understanding of how specific factors or covariates influence sales performance during different periods of volatility or growth. By capturing these structural shifts without assuming stability, the algorithm significantly enhances the interpretability of complex retail data, providing a more accurate reflection of real-world market dynamics.

専門分野

• ★ Statistics
• ★ Applied Statistics
• ★ Python
• ☆ Biostatistics
• ☆ Data Collection
• ☆ Statistical Theory
• ☆ Comparative Analysis
• ☆ Social Statistics
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Bayesian Statistics
• ☆ Correlation Analysis
• ☆ Quantum Statistics
• ☆ Statistical Computing
• ☆ Mathematical Statistics
• ☆ Survey Design
• ☆ Medical Statistics
• ☆ Health Data Analysis
• ☆ Trend Analysis
• ☆ SPSS
• ☆ SQL
• ☆ Excel
• ☆ R
• ☆ Tableau
• ☆ Scikit-learn

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing

Research Market Research, Scientific and Technical Research

Consulting Business Strategy Consulting, Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-ML, Data Visualization, Big Data Analytics, Data Cleaning, Data Processing, Data Insights

職務経験

Academic Research Assistant

Freelancing

2月 2023 - 現在

Applied Data Analyst & Research Consultant | iPace Concepts

iPace Concepts

1月 2021 - 現在

Data Science Instructor | Softrays Academy

Softrays Technologies

3月 2024 - 11月 2024

学歴

BSc Statistics

University of Ilorin, Kwara, Nigeria

9月 2019 - 8月 2024

認定資格

• Data Science with Python

  Cisco Networking Academy

  https://www.netacad.com/certificates/?issuanceId=c2e46c68-49d6-455b-bf82-51ec9bb9ea77

  7月 2025 - 現在

• Introduction to Data Science

  Cisco Networking Academy

  https://www.netacad.com/certificates/?issuanceId=3716ec38-eb12-430e-a5b4-32a3cf83d9c9

  10月 2024 - 現在