Summary

Junior data analyst, passionate about data, Knowledgeable in data analysis and its processes Beginning with asking questions about the data, passing through data wrangling, ending with answering questions about the data with data visualization and answering questions about the data helping in decision making, using python libraries and SQL for exploring the data, Power BI, and Tableau for visualization and statistical analysis to help decision-makers.

Work Experience

We Data

Business Intelligence and Data Warehouse Specialist

April 2022 - Now

Projects

Analyze A/B Results

Data Analyst

For this project, I'll be analyzing the outcomes of an A/B test conducted by an e-commerce website. The purpose is to work through this notebook to help the organization decide whether they should deploy the new page, keep the old page, or run the experiment for a longer period of time before making a choice.

Query a Digital Music Store Database

Query a Digital Music Store Database (chinook_db)

Investigate TMDB-movies Dataset

looked for the necessary assess with panda’s methods to make the data more realistic, followed by cleaning the data from null values using pandas’ methods, finally visualization stage to answer questions about data.

Skills

Technical

  • Programming Languages including Python, and Java.
  • Visualizations tools including Power BI, and Tableau.
  • Database including SQL Server.
  • ETL tools including SSIS, SSAS, and SSRS.
  • Knowledgeable in inferential statistics including hypothesis testing, A/B Testing.
  • Aware of cloud technologies including Google BigQuery

Concepts

  • Machine Learning
  • Data Warehouse and Data Modeling
  • ETL
  • Data Structures and Algorithms
  • Database Concepts
  • OOP

Education

Faculty of computer and artificial intelligence

Computer science - Bachelor

2017 - 2021

Courses and Certificates

Professional Data Analyst Certificate

DataCamp

Advanced data analysis nanodegree

Udacity

https://confirm.udacity.com/UZ53GENK
  • Advance my programming skills and refine my ability to work with messy, complex datasets.
  • I learned to manipulate and prepare data for analysis and create visualizations for data exploration.
  • Finally, I learned to use my data skills to tell a story with data.

Data Analysis Udacity Nanodegree

Udacity

Languages

Language

English

Professional

Language

Arabic

Mother Tongue