Data Analyst with statistical solid, practical, and financial experience. Highly skilled in Statistics, Mathematics, Data Analysis, SQL, Python, and Tableau.

I graduated with a degree in the Faculty of Commerce English with a major in Finance and Accounting, I have completed part one of the Certified Management Accountant (CMA).

In 2019, Due to my growing interest in data science and its strong relation it has with my major, my interest shifted toward big data. I started exploring the field and then made my decision to study full-time.

My study and experience vary from data analytics and visualization to scripting and data engineering. 2020 was difficult due to the pandemic. However, I was able to acquire freelance work with a partner.

I have completed more than 30 online courses with two nano degrees pertaining to the field. These courses include: advanced SQL, Scripting with Python, Practical Statistics, Data Wrangling, Data Visualization with (Python, Tableau, PowerBI) and Excel. I have also studied machine-learning fundamental Mathematics and Linear Regression. All courses through edX, Datacamp, Coursera, Udemy, Udacity, Kaggle, and HarvardX.

I am currently taking an online course called Applied Data Science specialization by Michigan University, and a Data Skills for a Business track on Datacamp.