SU

Success Umazayi

Data Nerd

GitHub LinkedIn Email

Data Analyst / Data Scientist

Hi, I’m Success — I turn raw data into insights that support smarter decisions.

I am a Computer Science student at the University of Ilorin and a data analyst with a growing interest in data science and machine learning. I currently work with Python, SQL, Excel, and Power BI to analyze data and build dashboards, while expanding my skills in predictive modeling and statistical analysis.

Based in Nigeria • Open to Remote Opportunities
Focus Data Analysis · Data Science · Machine Learning . Artificial Intelligence
Availability I’m currently open for internships, entry-level roles, and collaboration opportunities.
Resume Download Resume (PDF)

Latest copy with roles, impact, and skills.

Who am I?

A data analyst who enjoys exploring data to discover insights that solve real-world problems. I work with tools like Python, Pandas, Excel, and Power BI to clean data, perform analysis, and communicate results through clear visualizations.

Superpower

Turning business questions into data-driven insights and analysis.

Toolbox

Programming

  • Python
  • SQL

Data Analysis

  • Pandas
  • Numpy
  • Jupyter

Visualization

  • Power BI
  • Excel
  • Matplotlib
  • Seaborn

Machine Learning

  • Scikit-learn
  • Statistical Modeling
  • Feature Engineering

Bio

My journey into data analysis started with a curiosity about how data can explain patterns and trends in business and everyday life. Since then, I’ve developed skills in Python, Excel, and Power BI, working on projects involving data cleaning, analysis, and visualization.

I enjoy exploring datasets, asking meaningful questions, and presenting insights in ways that make data easier to understand. As I continue growing in this field, I am also expanding my skills in data science and machine learning, learning techniques for predictive modeling and deeper statistical analysis.

I’m currently open to data analyst internships, entry-level roles, and collaboration opportunities.

“Everything interesting hides in the residuals.”

Tech Stack

Languages
Python SQL C C++ HTML CSS
Frameworks & Tools
Pandas NumPy Matplotlib Seaborn SciPy Scikit-learn Jupyter Power BI Excel Streamlit

Projects and Experiences

Sorted by recency
2026

Car price Analysis and Prediction

Personal · Remote

  • Performed data analysis on car data using NumPy and Pandas.
  • Conducted exploratory data analysis using ydata_profiling to create professional report and identify trends.
  • Used PowerBi to build dashboards that visualize patterns and key performance metrics.
  • Built machine learning model using linear regressor algorithm, Decision Tree algorithm, Random Forest Algorithm and XGBoost algorithm to predict car prices.
  • Built and Deployed car prediction model using Streamlit
View on GitHub View Streamlit App
2026

Data Analysis Capstone Project – Schull.io

ST@40 · Remote

  • Cleaned and processed datasets using Python (Pandas).
  • Conducted exploratory data analysis to identify trends.
  • Built Power BI dashboards to visualize key performance metrics.
  • Presented findings through reports and presentations.
View on GitHub
2026

Amazon Sales Data Analysis Project

CodeAlpha Task · Remote

  • Analyzed sales data to uncover monthly trends.
  • Created visualizations and performance insights
  • Delivered a dashboard highlighting sales KPIs
View on GitHub
Certifications

ST@40 Digital Skills Training Initiative — Data Analysis

Schull Technologies · Partnership with Seyi Tinubu

Certificate of Participation - Data Analysis

Metadata

Favorite chart

Ridgeline plots for multi-distribution stories.

Learning

Artificial Intelligence and Machine Learning. Also exploring Software Engineering.

Reading

“Python for Data Science” & “Statistics”.