JOHN AGU MICHAEL

Data Scientist | Data Analyst | Risk Analyst | Python | SQL | Data Analysis | Machine Learning
24 Chimana Street, Rukpokwu, 500102, Port Harcourt, Nigeria.

About

Motivated Computer Science graduate with hands-on experience in data analysis, machine learning, and SQL. Skilled in cleaning and analyzing real-world datasets, building dashboards, and applying predictive models to support data-driven decision-making. Seeking entry-level or internship roles to grow in a collaborative, real-world environment.

Work

Freelance
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Junior Data Analyst

Port Harcourt, Rivers, Nigeria

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Contrct

Summary

Executed a freelance project analyzing sales and business performance data, gaining experience in tracking revenue trends and understanding customer behavior. Delivered actionable insights to support business decision-making and operational planning.

Highlights

Cleaned, validated, and standardized real-world datasets using Python (Pandas).

Performed exploratory data analysis (EDA) to identify trends, patterns, and anomalies.

Analyzed sales and revenue data to track monthly growth and customer behavior.

Built dashboards to visualize KPIs, top-performing products, and revenue trends.

Automated reporting workflows, reducing manual analysis time by 30%.

Communicated insights clearly to support business and operational decisions.

Skill Boost Africa
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Data Analyst Intern

Port Harcourt, Rivers, Nigeria

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NYSC

Summary

Gained hands-on experience analyzing real-world datasets and applying data analysis techniques during an NYSC internship program.

Highlights

Worked with structured datasets (CSV, Excel, SQL tables) for analysis and reporting.

Applied data cleaning techniques: handling missing values, removing duplicates, and standardizing formats

Created visual reports and dashboards using Tableau and Power BI

Supported decision-making by summarizing insights in clear, non-technical language

Projects

Loan Default Risk Prediction

Python, Scikit-learn

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Summary

Developed an end-to-end classification model to predict borrower loan default risk. Performed data cleaning, missing value treatment, and feature engineering to improve model performance. Applied one-hot encoding and feature scaling while preventing data leakage through proper train-test splitting. Trained and compared Logistic Regression, Random Forest, and Gradient Boosting models. Evaluated models using Accuracy, Precision, Recall, F1-score, ROC-AUC, and Confusion Matrix. Saved trained model for inference on unseen data.

Education

Clifford University
Owerrinta, Abia State, Nigeria

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Bachelor of Science

Computer Science

Skills

Programming Languages

Python, SQL.

Technical Skills

Data Wrangling, Data Visualization, Exploratory Data Analysis(EDA), Data Scraping, Machine Learning, Time Series Forecasting, SQL Quering and Data Manipulation.

Tools

Tableau, Jupyter Notebook, Google Colab, Anaconda, VS Code.

Soft Skills

Communication, Problem solving, Team Collaboration, Adaptability.

Certificates

Data Science Diploma

Issued By

AltSchool Africa(Ongoing)

Languages

English

Native