Data Analyst | Python | VBA Programmer | Dashboard
A data analyst with two Nanodegrees in data analysis at Udacity with skills:
~Pandas and Numpy
~Matplotlib, Plotly, and Seaborn
Has worked on projects which are mainly related to the Data Analysis process (Wrangling and Exploring) and pure python projects like:
~Investigate TMDB Movie Data
• Successfully created a report using Jupyter Notebook on how Popularity, Average Vote, and Revenue change with movie genre
Explore US Bikeshare Data – Udacity
• Built a Python script with a terminal user input for exploring data of bike share in 3 US states
Also, a VBA programmer who worked on real-life projects such as:
~Creating a data entry user form for analysis
~Creating a resume creator user form
If you are looking for an energetic professional data analyst and web scrapper or a Python developer, so I will be happy if you contacted me
Currently a freelancer data analyst and python programmer
Fine Hygienic Holding
Apr 2021 - Oct 2021 (6 months, 2 days)
Managing, controlling resources and analyze performance of a production line of baby diapers
Fine Hygenic Holding
Jan 2020 - Mar 2021 (1 year, 2 months)
Responsible for eliminating waster of a production line as a process engineer
Cairo University, Egypt 2015 - 2019
Professional Data Analysis
Nanodegree focuses on the basics of the data analysis process using Python programming and other useful packages
•Introduction to Python and how to write a complete script.
•Introductions to Numpy and Pandas and the power of using data frames.
•Gathering data in different ways eg. (Web scraping, and APIs)
•Introduction to Jupyter notebooks and how to create a complete positive report in cooperation with Pandas, Numpy, and Matplotlib.
Challenger Data Analysis
Nanodegree which focuses on the basics of statistics and measuring business metrics using Excel models
•Types of data (Categorical and Quantitative) and categories of each of them.
•Basics of descriptive statistics, measures of center and spread.
•Shape of the dataset, outliers, and how to handle them.
•Descriptive vs inferential statistics
•Business metrics (Marketing, Growth, Sales, and Finance).
•Basics of digital freelancing
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Preferred Freelancer Program SLA 1 97% Freelancer Orientation 1 90%