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$10 USD / jam
Bendera EGYPT
cairo, egypt
$10 USD / jam
Sekarang jam 2:46 PTG di sini
Menyertai Oktober 2, 2017
0 Syor

Mohamed E.

@mhmdsedawy

 0.0 (0 ulasan)
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$10 USD / jam
Bendera EGYPT
cairo, egypt
$10 USD / jam
N/A
Pekerjaan Disiapkan
N/A
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Kadar Upah Semula

Data Analysis | Data Visualization

Hi everyone! I'm here to help you analyze and organize your data in a clear way. Please feel free to contact me if you need: - analysis and visualization of your open-ended survey responses. - Building automated Excel sheets using (pivot tables, VBA, complex formulas, conditional formatting, Queries……etc.) - data analysis using Python, MySQL - PowerBI Dashboard I'm a reliable, detail-oriented, and hard-working person. I would be glad to help you!
Freelancer Python Developers Egypt
Lihat semua Python Developers dalam Egypt

Hubungi Mohamed E. tentang pekerjaan anda

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Portfolio

10306725
data analysis for sales data over two years
Sales Dashboard using MS Excel
data analysis for sales data over two years
Sales Dashboard using MS Excel
data analysis for sales data over two years
Sales Dashboard using MS Excel
data analysis for sales data over two years
Sales Dashboard using MS Excel
10649921
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
10306725
data analysis for sales data over two years
Sales Dashboard using MS Excel
data analysis for sales data over two years
Sales Dashboard using MS Excel
data analysis for sales data over two years
Sales Dashboard using MS Excel
data analysis for sales data over two years
Sales Dashboard using MS Excel
10649921
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite
Analysis for chinook_db music data using SQLite and getting useful insights the useful insights included here are as below: number of tracks per each genre the total amount earned per each genre the number of tracks per each artist (TOP10) for the top genre which customer (TOP10) spent the most amount on the top genre finally using MS Excel to visualize the above results from SQLite
Analysis for chinook_db using SQLite

Ulasan

Perubahan disimpan
Tiada ulasan untuk dilihat di sini!

Pengalaman

Product Management Engineer

Johnson Controls
Ogo 2021 - Hari ini
• data analysis • Provides Product Management support to the Product Development Process (PDP), all phases. • Develops business case financials to recommend new product developments and product enhancements. • Is responsible to provide product support tools e.g., Technical / Sales literature, selection software, and Product Launch materials, including competitor benchmark analysis.

Pendidikan

Bachelor degree of mechanical Engineering

Alexandria University, Egypt 2011 - 2016
(5 tahun)

Kelayakan

SQL

365datascience
2022
Studying SQL and using MySQL A certificate of completion had been awarded

Data Analysis Nano Degree

Udacity
2022
Studying data analysis and data visualization using python and SQL studying statistics and probability

Hubungi Mohamed E. tentang pekerjaan anda

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Python
Excel
Web Scraping
MySQL
SQLite

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Python Developers in Egypt
Python Developers
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Python
Excel
Web Scraping
MySQL
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