Skills

• Python Programming
• Data Visualization (Tableau, Power BI)
• Machine Learning
• SQL & Database Management
• Excel and Pivot Analysis
• Storytelling with Data

• Data Cleaning and Preparation

  Ensure your data is accurate, consistent, and ready for analysis.

• Exploratory Data Analysis (EDA)

  Uncover insights and trends with in-depth exploratory analysis.

• Dashboard Development

  Create dynamic and interactive dashboards for data visualization.

• Statistical Analysis

  Perform complex statistical analysis to validate your data.

• Predictive Analytics

  Use predictive models to forecast trends and outcomes.

• Regression Analysis

  Understand relationships between variables for better decision-making.

My Projects

• Energy Consumption Patterns of Nations: This Power BI project analyzes global energy consumption patterns. Data was cleaned using Python, focusing on metrics like electricity access, renewable energy, and CO2 emissions.
• Nigeria's Crude Oil Price & Inflation Trends Impact on GDP: This Tableau project explores the intricate relationship between Nigeria's crude oil prices, inflation trends, and their impact on GDP growth from 1960 to 2023.
• Excel Supermarket Sales Analysis Dashboard: The Excel Supermarket Dashboard Analysis project focuses on transforming raw sales data into a comprehensive and interactive dashboard to enable data-driven decision-making.
• House Prices - Advanced Regression Techniques: Leveraged advanced regression models to predict house prices, emphasizing data preprocessing and feature engineering.
• NVIDIA Financial Tableau Dashboard: A comprehensive dashboard providing insights into NVIDIA's financial data, focusing on trends and key performance indicators.
• Student Spending Habit Analysis: Conducted an in-depth analysis of student spending habits, utilizing a dataset that includes various financial aspects such as income, expenses, and financial aid.
• Network Monitoring Flask App: Developed a Flask-based app to monitor network activity, focusing on real-time data visualization and user-friendly interfaces.
• Credit Score Analysis: Utilized data analytics for credit card predictive analysis, descriptive analysis, and vintage analysis. Implemented a RandomForestClassifier for credit risk classification.
• Titanic - Machine Learning from Disaster: Predicted Titanic passenger survival using machine learning, achieving high accuracy through data preprocessing and model training.
• IEEE Fraud Detection EDA Random Forest: Conducted exploratory data analysis and implemented Random Forest models for fraud detection, achieving significant classification accuracy.

Explore more on GitHub.

Blog

Coming soon! Insights and stories from my data journey.

Testimonials

Let's Connect!

If you have any questions, feedback, or would like to discuss a potential project, feel free to reach out. I'm always open to new opportunities and collaborations!

Email me directly at chisomeriobu428@gmail.com, or connect with me on any of my social platforms:

• LinkedIn
• Instagram
• GitHub
• X (Twitter)