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.
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.
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
Junior Data Scientist Project | Python, Scikit-learn
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Summary
Built supervised and unsupervised ML models on a highly imbalanced dataset. Achieved high fraud detection recall by prioritizing minority class performance. Evaluated models using Recall, F1-score, ROC-AUC, and confusion matrices. Analyzed trade-offs between false positives and missed fraud cases. Demonstrated understanding of real-world ML limitations and evaluation metrics.
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Bachelor of Science
Computer Science
Data Wrangling, Data Visualization, Exploratory Data Analysis (EDA), Web/Data Scraping, Machine Learning (Supervised & Unsupervised), Time Series Forecasting, SQL Querying and Data Manipulation.
Python, SQL.
Communication, Problem Solving, Team Collaboration, Adaptability.
Tableau, PowerBI, Jupyter Notebook, Google Colab, Anaconda, Visual Studio.
Issued By
AltSchool Africa(Ongoing)
Native