Your Year, Wrapped

Freelance Data Analyst
Scroll to begin
Chapter 01 - The numbers
Chapter 02 - Top tracks
Chapter 03 - Most-played project
Processed and structured raw datasets using Pandas and NumPy to fix inconsistencies and handle missing data. Conducted EDA to identify key performance indicators, statistical trends, and correlations across dataset attributes. Documented analytical workflows in Jupyter Notebook and hosted repositories on GitHub.
Chapter 04 - The tour
Freelance Data Analyst
Collaborated with business clients to process, clean, and structure raw datasets using Python (Pandas, NumPy) and Excel. Executed database queries using SQL to extract, filter, and analyze relevant records for targeted analytical projects. Created clear visualizations and summaries using Matplotlib and Seaborn to communicate findings effectively. Delivered data cleaning, exploratory data analysis (EDA), and trend identification solutions tailored to client specifications.
Chapter 06 - The receipts
—
IBM (Coursera)
Chapter 07 - Off the record
That's a wrap.

Esmaeel EBRAHIM. Reach out, or share this story.
Built with Portify