Data Collection & Extraction
Gather data from databases, Excel, APIs or scraping. Validate quality and completeness before analysis.
Data Analyst | Visualization Specialist
Welcome to my portfolio! I'm Yussuf, a passionate and self-driven data analyst who loves uncovering insights from data to help businesses make smarter decisions.

My journey into data analysis began with a curiosity about how data can be used to tell stories and inform strategies. I have a strong foundation in SQL for data querying, Excel for data manipulation, and visualization tools like Tableau and Power BI to create impactful dashboards.
Over the past few months, I’ve completed multiple real-world projects, each focused on solving real business problems, backed by data-driven recommendations and dashboards.
Currently, I’m seeking an opportunity to grow as a data analyst, where I can contribute to data-driven decision-making while continuing to build my skills in a collaborative environment.
My goal is to leverage my analytical skills and business acumen to help organizations make informed decisions based on data. I thrive in dynamic environments where I can apply my technical expertise and creativity to solve complex problems.
Interactive insights on revenue, profit & product trends. +26% quantity growth, actionable recommendations included.
Analyzed hospital readmissions & operational performance using SQL, Python & Power BI to deliver clear dashboard.
Identified churn drivers & customer segments using analytics; provided retention recommendations.
Reduced reporting time by 30% and improved workforce planning by highlighting hiring trends, salary gaps.

Visualizes sales and profit trends across regions and categories. Includes actionable insights for business growth.

Analyzed real estate market trends to identify key price drivers and investment opportunities.
Gather data from databases, Excel, APIs or scraping. Validate quality and completeness before analysis.
Handle missing values, normalize types and create derived fields so analysis is reliable and repeatable.
Use summary statistics and visualizations to find trends, outliers and hypothesis for modeling.
Aggregate, segment and test relationships to surface insights that answer the business question.
Design dashboards (Tableau/Power BI/Excel) with KPIs and interactive filters for decision-makers.
Automate data pipelines and reporting to reduce manual work and ensure timely insights.
Present findings, recommend actions and hand over playbooks so teams can act with confidence.






From mastering Data Analytics to advancing into Data Science.