I’m a Mathematics graduate transitioning into Data Analytics, Business Intelligence, and Data Science, with a focus on using data to support better business decisions.

I work with Python, SQL, Excel, Power BI, and data visualization to explore datasets, identify patterns, build analytical solutions, and communicate insights effectively.

📊 Currently building: Real-world data analytics projects and a professional portfolio.

Data Analysis

• Python
• SQL
• Excel
• Power BI
• Pandas
• NumPy
• Matplotlib

Analytics & Business Intelligence

• Exploratory Data Analysis (EDA)
• Data Cleaning & Transformation
• Business Intelligence
• Customer Analytics
• Sales & Revenue Analysis
• Customer Segmentation
• KPI Analysis

Coursera | May 2022 – Jan 2023

• Data Science Orientation
• Tools for Data Science
• Data Science Methodology
• Python for Data Science, AI, and Development
• Python Project for Data Science
• Data Analysis with Python
• Machine Learning with Python

An interactive sales dashboard designed to analyze revenue, sales performance, product trends, and key business KPIs.

Tools: Excel • Power BI • Data Visualization

🔗 View Project

An interactive dashboard focused on e-commerce sales performance, revenue trends, top-performing countries, customers, and key business KPIs.

Tools: Excel • Power BI • Data Visualization

🔗 View Project

Exploratory data analysis of e-commerce sales data using Python to identify revenue trends, top-performing countries, high-value customers, and other business insights.

Tools: Python • Pandas • Matplotlib • Kaggle

🔗 View Project

Customer-level analysis focused on purchasing behavior, customer value, purchase frequency, customer segmentation, and customer lifetime value.

Tools: Python • Pandas • NumPy • Data Analysis

🔗 View Project

A predictive analytics project focused on identifying customers at risk of churn and understanding the factors associated with customer retention.

Tools: Python • Pandas • Scikit-learn • Machine Learning

A predictive analytics project focused on analyzing historical sales patterns and forecasting future sales to support business planning and decision-making.

Tools: Python • Pandas • Time Series Analysis

I’m currently focused on building practical skills in Data Analytics, Business Intelligence, and Predictive Analytics.

My goal is to use data to help organizations understand their customers, improve operations, measure performance, and make better decisions.

• Customer analytics and segmentation
• Predictive analytics and machine learning
• Sales forecasting
• Business intelligence dashboards
• Building real-world data analytics projects

I am building toward a career in Data Analytics and Business Intelligence, with an interest in applying data-driven solutions across industries such as:

• 🏦 Finance
• 🏥 Healthcare
• 🛒 E-commerce
• 💻 Technology
• 📊 Business & Consulting

Languages & Querying

Python SQL

Data Analysis

Pandas NumPy Matplotlib

Business Intelligence

Excel Power BI

Tools & Platforms

Git GitHub Jupyter Notebook Kaggle

I’m actively building my GitHub portfolio through hands-on projects in:

• 📊 Data Analytics
• 🧮 Business Intelligence
• 🐍 Python Data Analysis
• 🗄️ SQL
• 🤖 Predictive Analytics
• 📈 Data Visualization

I’m open to connecting with fellow data professionals, organizations, recruiters, and people interested in Data Analytics, Business Intelligence, and technology.

📧 Email: dennis.ugwuonu@gmail.com

💼 LinkedIn: Dennis Chinonso Ugwuonu

🐙 GitHub: Ugwuonu-github2

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