Blessing Okagbare

Data Analyst & Data Scientist | MSME Focus | Nigerian Data Specialist

ILE IFE., 220222, Osun State, NG.

Education

Adeyemi College of Education, Ondo

Ondo, Ondo State, Nigeria
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Bachelor of Science in Mathematics Education Mathematics Grade: 3.87 GP

About

Highly analytical Data Analyst & Data Scientist with proven expertise in developing predictive models and translating complex Nigerian MSME datasets into actionable business insights using Python, SQL, and Excel. Adept at leveraging machine learning and statistical analysis for forecasting, trend analysis, and building decision-support tools. Passionate about driving MSME development and fostering data-driven solutions with a focus on gender inclusion and infrastructure.

Languages

English

Fluent

Work

LB EdTech Solutions

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Founder & Data Scientist / Data Analyst

Ile-Ife, Osun State, Nigeria

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Summary

Led data science initiatives, developing predictive models and decision-support tools to provide actionable insights for Nigerian MSMEs.

Highlights

Developed and deployed a predictive model using 31 months of NBS rice price and FX data, forecasting market trends and identifying key drivers such as Festive Season (contributing +₦2,714) and Harvest (reducing -₦708) impact.

Engineered an ML-powered decision-support tool, providing SMEs with real-time data inputs to optimize purchasing strategies and inform 'Buy now or wait?' decisions.

Designed and deployed interactive data dashboards and comprehensive business intelligence tools, giving Lagos SMEs clear, actionable insights

Translated complex analytical findings from diverse datasets into clear, actionable business recommendations, enhancing data literacy and strategic planning for non-technical stakeholders.

Documented and publicly published data science projects, including a full case study and open-source code, demonstrating technical proficiency and commitment to transparency (#PROOF2026).

St. Mulumba College

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Mathematics Teacher

Ife, Osun State, Nigeria

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Summary

Fostered critical thinking and quantitative reasoning skills in students through engaging mathematics instruction.

Highlights

Cultivated strong analytical thinking skills in students by implementing structured problem-solving methodologies and fostering advanced data interpretation abilities.

Developed foundational skills in effective communication, clear reporting, and robust quantitative reasoning, preparing students for higher education and professional environments.

Skills

Programming & ML

Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn), SQL, Excel.

Machine Learning

Predictive modeling, Regression analysis, Trend forecasting, Feature engineering.

Data Visualization

Power BI, Streamlit dashboards, Interactive reporting tools.

Domain Expertise

Nigerian MSMEs, NBS data, Market trends, FX analysis.

Tools

GitHub, Jupyter Notebook, Google Colab, Streamlit.

Projects

NBS SME Inventory Optimizer

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Summary

A data science project focused on optimizing inventory decisions for SMEs using predictive modeling and interactive tools.

Lagos Retail Trends Analysis

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Summary

An analysis of price patterns for rice sellers in Lagos, identifying profit impact scenarios and informing product strategy for small retailers.