About

About Me

I’m a data analyst with a passion for problem-solving, shaped early on by playing chess and solving puzzles. By day, I work with tools like Python, SQL, and Power BI to extract insights from data—often taking projects from raw data collection to actionable business outcomes like customer segmentation.

Outside of work, I enjoy writing about data on Medium, taking part in weekly challenges on HackerRank and Workout Wednesday, and building personal projects that I document and share. I'm largely self-taught through platforms like Coursera, edX, and FreeCodeCamp.

Feel free to explore my projects and articles below—most link to GitHub, so you can dive into the code yourself.

Projects

Project 1
HR Attrition Dashboard

This dashboard provides valuable insights into the factors contributing to employee attrition. This project not only highlights the importance of data analysis in HR, but also demonstrates how visualizations can make complex data more accessible and actionable.

Blog Post Source Code
Project 2
Store Sales Dashboard

I developed this dashboard to visualize sales data, identify key trends, and forecast future sales. This project provides a comprehensive insight into sales performance, customer preferences, and market trends.

Blog Post Source Code
Project 3
Insurance Sales Dashboard

In this project, i make a comprehensive analysis of customer demographics, analyze key markets and regional revenue trends by state and identify top-performing insurers for the years 2021 and 2022.

Blog Post Source Code
Project 3
Movie Recommendation System Using Python

I generated insightful visualizations showing trends in movie ratings, genres, and other key attributes. And then I worked on a recommendation system that suggests similar movies based on user input

Blog Post Source Code
Project 3
Exploring Sales Data With SQL

Utilized SQL for in-depth data analysis of the sales data to identify key trends, customer behaviors, and product performance, regional sales performance, and preferred payment mode.

Blog Post Source Code
Project 3
Data Cleaning Using SQL

In this project, I cleaned the Nashville housing dataset using SQL. I converted data types, handled missing values, populated missing addresses, and removed duplicate records. These steps ensure the data is clean and ready for further analysis.

Blog Post Source Code

Certifications

Python
PYTHON FOR DATA VISUALIZATION

In this comprehensive python course, I learnt how to turn raw data into visualizations, maximizing libraries like matplotlib, seaborn and plotly.

Link to certificate

Contact Me

Tobenna_C@proton.me

+234-805-472-1127

LinkedIn
Twitter
GitHub
Medium