Mohammed Hani

Mohammed Hani

Business Analytics at universiti sains malaysia

Egypt

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Hi, I'm Mohammed Hani!

Economic Researcher at Information and Decision Support Centre (IDSC) - Cairo

Hello, Why I can stand out: Academic Background: - Bachelor's Degree: My field of economics and market analysis expertise, demonstrated during my graduation project on GDP growth and public debt in Egypt, earned my team an excellent grade. This knowledge will be invaluable to your team. - Master’s Degree: I recently completed my master’s degree in business analytics from Universiti Sains Malaysia under the Digital Egypt Builders Initiative (DEBI) scholarship. This program equipped me with cutting-edge analytical skills and knowledge in market and data analytics. Professional Scope: - Strategic Collaboration: I participated in devising strategies and providing reports for the Egyptian cabinet, collaborating with colleagues from diverse backgrounds and departments to determine the best course of action. - Productivity Enhancement: During my service in the army, I contributed to doubling office productivity, earning recognition from the Recruitment and Mobilization Area of Cairo. - Internships: Engaging in various internships enhanced my understanding of the business cycle, financial operations, and accounting practices. To gain more experience and craft my technical skills, I enrolled in extra coursework to craft my skills even further. My portfolio of my previous works and hands-on projects are available on my YouTube channel, Github, and LinkedIn profile.

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Experience

Education

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Projects

Machine Learning model for crowdfunding campaign success prediction

https://github.com/MohammedHani98/Crowdfunding_In_Europe_Indiegogo

Student

This study aims to use the data scrapped from the Indiegogo website for crowdfunding in the European region in the period from 2010 to 2023 in order to:

  • Investigate the impact of project characteristics, fundraiser characteristics, and pledging conditions on the probabilities of having a successful crowdfunding campaign.
  • Figure out the importance of the selected features in defining the campaigns’ success.
  • Determine the most suitable machine learning algorithms to predict the success or failure of the campaigns advertised on Indiegogo and based in Europe.

YouTube Statistics 2023 Dashboard Using Tableau

https://www.youtube.com/watch?v=n6g7BgVnaOc

Student

The video is a demonstration of YouTube statistics and the channels' performance in 2023 using YouTube data published on Kaggle platform.

  • This project aims to find the conversion rate for both the old and new website and whether it is beneficial to apply the new one or stick with the old website
  • The project utilizes Python language to perform the statistical analysis and hypothesis testing for the final decision
  • This project is part of Udacity Data Analysis project for Data Analytics Track

Languages

Arabic

Native

English

Professional

German

Intermediate

Skills

Python Data

NumPy

Pandas

Scikit-Learn

SciPy

Machine Learning

Data Analysis

Business Analysis

Power BI

Tableau

SQL Database

Economic Research

Excel

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