Fresh, curious, and driven — I turn raw data into decisions that matter. From spreadsheets to machine learning, I bring structure to complexity.
I'm Samuel Adedokun Adesola, an emerging data analyst based in Lagos, Nigeria, with a sharp eye for turning messy data into meaningful insight. Though early in my career, I've already built a solid foundation across tools like Power BI, Excel, Google Sheets, and Python — with a growing interest in machine learning.
I believe the best analysts aren't just number-crunchers — they're translators. I take data that feels overwhelming and shape it into stories that help people make smarter, faster decisions.
I'm actively building my portfolio, hungry to learn, and ready to bring real value to any team or project I join.
I approach every dataset with curiosity — asking the right questions before jumping to answers.
In less than a year, I've picked up Power BI, Excel, SQL, Python, and machine learning fundamentals — and I'm not stopping.
Every project I take on is driven by one goal: insights that are clear, useful, and actionable.
A collection of data analysis work built entirely in Excel — covering data cleaning, pivot tables, formulas, and visualisation to extract business insights from raw datasets.
↗Hands-on SQL work involving querying, filtering, aggregating, and joining datasets to answer business questions and surface key metrics from structured databases.
↗Interactive dashboards and reports built in Power BI — transforming raw data into visual stories that make performance metrics clear and decisions faster.
↗A Python-based data analysis project using libraries like Pandas and Matplotlib — covering data wrangling, exploration, and visualisation with machine learning elements.
↗Open to data analyst roles, freelance projects, and collaborations. If you have data that needs clarity, I'd love to help.