Curious about numbers, driven by impact.
I'm Sewhenu Junaid, a data analyst based in Nigeria. My journey into data started with mathematics — I studied Applied and Pure Mathematics at the University of Ibadan, where I fell in love with the way numbers could describe patterns hidden in plain sight.
That fascination naturally pulled me toward analytics. I started teaching myself Excel, then SQL, then Power BI — building small projects, breaking them, and rebuilding them until the workflow made sense end-to-end. Each dataset felt like a puzzle: clean it, question it, visualize it, and let the story surface.
What drives me is the moment a dashboard or report shifts someone's thinking — when raw numbers turn into a decision. I care about the craft: clean data models, honest visualizations, and analyses that stand up to scrutiny. I'm ready to bring that curiosity and rigor to a team building things that matter.
Education
Bachelor of Science, Applied and Pure Mathematics
University of Ibadan, Nigeria
Project timeline
Bank Customer Analytical Overview
How I used Microsoft Excel for my first end-to-end analytics project.
Brewery Profitability & Consumer Behavior
From SQL to insights — a three-year analysis of brewery performance.
Pizza Sales Performance Analysis
From data to decisions — turning pizza sales into strategic insights.
Splendor Investments Workforce Analysis
When employee data starts talking — a workforce study with SQL and Excel.
10,000 Ride-Sharing Trips Analyzed
What the data revealed about riders, routes, and revenue.
Inside 55,500 Patient Records
A healthcare dashboard on cost, care, and risk — built in Power BI.
Car Sales EDA
An exploratory data analysis of car sales data using Python, pandas, and seaborn in Google Colab.
HR Attrition Analysis
Inside 1,470 employee records — what the data revealed about retention, retrenchment, and promotion risk.
Student_Performance
An exploratory analysis of student performance factors using Python, pandas, and descriptive statistics in Google Colab.
Dietician Analysis
An exploratory analysis of dietary and nutrition data using Python, pandas, and statistical summaries in Google Colab.
Household cleaning agents Analysis
A Power BI sales overview dashboard exploring performance and trends for household cleaning agents.