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$40 USD / Stunde
Flagge von EGYPT
new cairo, egypt
$40 USD / Stunde
Es ist derzeit 11:09 AM hier
Beigetreten am Januar 2, 2019
1 Recommendation

Ahmed H.

@amokhtar70

annual-level-three.svg 5,0 (55 Bewertungen)
5,6
5,6
96%
96%
$40 USD / Stunde
Flagge von EGYPT
new cairo, egypt
$40 USD / Stunde
100 %
Abgeschlossene Arbeiten
100 %
Budgetgerecht
100 %
Pünktlich
16 %
Wiedereinstellungsrate

Excel VBA, Macros, Google Apps Script, PowerShell

Hello, I am Ahmed Mokhtar Hassanein. • Engineer with a bachelor’s degree in Computer & Automatic Control Systems. • Excellent Excel VBA, Macros, and Formulas. • Excellent Google Sheets and Google Apps Script. • Excellent PowerShell scripting skills. • Data Analytics using Python, NumPy, Pandas, and Matplotlib. • Over 25 years’ experience supporting systems and users in the information technology field. • ITIL4 Managing professional. • Managed several implementations of network infrastructure, virtualization, domain controllers, application servers, network security, … etc. • Conducted tens of information systems audits and vulnerability assessments.
Freelancer Excel Experts Egypt
Alle Excel Experts in Egypt ansehen

Kontaktieren Sie Ahmed H. bezüglich Ihres Jobs

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Portfolio

9511897
Udacity Data Analysis Professional Nanodegree
Udacity Data Analysis Professional Nanodegree
9502302
Certified Quality Inspector - Institute of Quality Management The American University in Cairo, Egypt
Certified Quality Inspector
9502216
In this project we'll be analyzing data associated with 'Medical Appointment No Shows'. This dataset collects information from 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment. A number of characteristics about the patient are included in each row. We are going to investigate the dataset in hand to fid answers for the following questions: 1- Research Q1: What is the influence of gender on showing-up to appointments? 2- Research Q2: Does age groups influence on showing-up to appointments? 3- Research Q3: Does sms received raise the chance of patients showing up for their scheduled appointment?
Data analysis of 'Medical Appointment No Shows' Dataset
In this project we'll be analyzing data associated with 'Medical Appointment No Shows'. This dataset collects information from 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment. A number of characteristics about the patient are included in each row. We are going to investigate the dataset in hand to fid answers for the following questions: 1- Research Q1: What is the influence of gender on showing-up to appointments? 2- Research Q2: Does age groups influence on showing-up to appointments? 3- Research Q3: Does sms received raise the chance of patients showing up for their scheduled appointment?
Data analysis of 'Medical Appointment No Shows' Dataset
In this project we'll be analyzing data associated with 'Medical Appointment No Shows'. This dataset collects information from 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment. A number of characteristics about the patient are included in each row. We are going to investigate the dataset in hand to fid answers for the following questions: 1- Research Q1: What is the influence of gender on showing-up to appointments? 2- Research Q2: Does age groups influence on showing-up to appointments? 3- Research Q3: Does sms received raise the chance of patients showing up for their scheduled appointment?
Data analysis of 'Medical Appointment No Shows' Dataset
In this project we'll be analyzing data associated with 'Medical Appointment No Shows'. This dataset collects information from 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment. A number of characteristics about the patient are included in each row. We are going to investigate the dataset in hand to fid answers for the following questions: 1- Research Q1: What is the influence of gender on showing-up to appointments? 2- Research Q2: Does age groups influence on showing-up to appointments? 3- Research Q3: Does sms received raise the chance of patients showing up for their scheduled appointment?
Data analysis of 'Medical Appointment No Shows' Dataset
In this project we'll be analyzing data associated with 'Medical Appointment No Shows'. This dataset collects information from 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment. A number of characteristics about the patient are included in each row. We are going to investigate the dataset in hand to fid answers for the following questions: 1- Research Q1: What is the influence of gender on showing-up to appointments? 2- Research Q2: Does age groups influence on showing-up to appointments? 3- Research Q3: Does sms received raise the chance of patients showing up for their scheduled appointment?
Data analysis of 'Medical Appointment No Shows' Dataset
In this project we'll be analyzing data associated with 'Medical Appointment No Shows'. This dataset collects information from 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment. A number of characteristics about the patient are included in each row. We are going to investigate the dataset in hand to fid answers for the following questions: 1- Research Q1: What is the influence of gender on showing-up to appointments? 2- Research Q2: Does age groups influence on showing-up to appointments? 3- Research Q3: Does sms received raise the chance of patients showing up for their scheduled appointment?
Data analysis of 'Medical Appointment No Shows' Dataset
In this project we'll be analyzing data associated with 'Medical Appointment No Shows'. This dataset collects information from 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment. A number of characteristics about the patient are included in each row. We are going to investigate the dataset in hand to fid answers for the following questions: 1- Research Q1: What is the influence of gender on showing-up to appointments? 2- Research Q2: Does age groups influence on showing-up to appointments? 3- Research Q3: Does sms received raise the chance of patients showing up for their scheduled appointment?
Data analysis of 'Medical Appointment No Shows' Dataset
9502197
ITIL 4 Managing Professional (ITIL MP) is a stream of four modules that are part of ITIL 4, the next evolution of ITIL. The four modules are: ITIL 4 Specialist Create, Deliver and Support ITIL 4 Specialist Drive Stakeholder Value ITIL 4 Specialist High-velocity IT ITIL 4 Strategist Direct, Plan and Improve. ITIL 4 MP has been created for IT practitioners working within technology and digital teams across businesses. The Managing Professional (MP) stream provides practical and technical knowledge about how to run successful IT enabled services, teams and workflows. ITIL® is a registered trade mark of AXELOS Limited.
ITIL4 Managing Professional
9511897
Udacity Data Analysis Professional Nanodegree
Udacity Data Analysis Professional Nanodegree
9502302
Certified Quality Inspector - Institute of Quality Management The American University in Cairo, Egypt
Certified Quality Inspector
9502216
In this project we'll be analyzing data associated with 'Medical Appointment No Shows'. This dataset collects information from 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment. A number of characteristics about the patient are included in each row. We are going to investigate the dataset in hand to fid answers for the following questions: 1- Research Q1: What is the influence of gender on showing-up to appointments? 2- Research Q2: Does age groups influence on showing-up to appointments? 3- Research Q3: Does sms received raise the chance of patients showing up for their scheduled appointment?
Data analysis of 'Medical Appointment No Shows' Dataset
In this project we'll be analyzing data associated with 'Medical Appointment No Shows'. This dataset collects information from 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment. A number of characteristics about the patient are included in each row. We are going to investigate the dataset in hand to fid answers for the following questions: 1- Research Q1: What is the influence of gender on showing-up to appointments? 2- Research Q2: Does age groups influence on showing-up to appointments? 3- Research Q3: Does sms received raise the chance of patients showing up for their scheduled appointment?
Data analysis of 'Medical Appointment No Shows' Dataset
In this project we'll be analyzing data associated with 'Medical Appointment No Shows'. This dataset collects information from 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment. A number of characteristics about the patient are included in each row. We are going to investigate the dataset in hand to fid answers for the following questions: 1- Research Q1: What is the influence of gender on showing-up to appointments? 2- Research Q2: Does age groups influence on showing-up to appointments? 3- Research Q3: Does sms received raise the chance of patients showing up for their scheduled appointment?
Data analysis of 'Medical Appointment No Shows' Dataset
In this project we'll be analyzing data associated with 'Medical Appointment No Shows'. This dataset collects information from 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment. A number of characteristics about the patient are included in each row. We are going to investigate the dataset in hand to fid answers for the following questions: 1- Research Q1: What is the influence of gender on showing-up to appointments? 2- Research Q2: Does age groups influence on showing-up to appointments? 3- Research Q3: Does sms received raise the chance of patients showing up for their scheduled appointment?
Data analysis of 'Medical Appointment No Shows' Dataset
In this project we'll be analyzing data associated with 'Medical Appointment No Shows'. This dataset collects information from 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment. A number of characteristics about the patient are included in each row. We are going to investigate the dataset in hand to fid answers for the following questions: 1- Research Q1: What is the influence of gender on showing-up to appointments? 2- Research Q2: Does age groups influence on showing-up to appointments? 3- Research Q3: Does sms received raise the chance of patients showing up for their scheduled appointment?
Data analysis of 'Medical Appointment No Shows' Dataset
In this project we'll be analyzing data associated with 'Medical Appointment No Shows'. This dataset collects information from 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment. A number of characteristics about the patient are included in each row. We are going to investigate the dataset in hand to fid answers for the following questions: 1- Research Q1: What is the influence of gender on showing-up to appointments? 2- Research Q2: Does age groups influence on showing-up to appointments? 3- Research Q3: Does sms received raise the chance of patients showing up for their scheduled appointment?
Data analysis of 'Medical Appointment No Shows' Dataset
In this project we'll be analyzing data associated with 'Medical Appointment No Shows'. This dataset collects information from 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment. A number of characteristics about the patient are included in each row. We are going to investigate the dataset in hand to fid answers for the following questions: 1- Research Q1: What is the influence of gender on showing-up to appointments? 2- Research Q2: Does age groups influence on showing-up to appointments? 3- Research Q3: Does sms received raise the chance of patients showing up for their scheduled appointment?
Data analysis of 'Medical Appointment No Shows' Dataset
9502197
ITIL 4 Managing Professional (ITIL MP) is a stream of four modules that are part of ITIL 4, the next evolution of ITIL. The four modules are: ITIL 4 Specialist Create, Deliver and Support ITIL 4 Specialist Drive Stakeholder Value ITIL 4 Specialist High-velocity IT ITIL 4 Strategist Direct, Plan and Improve. ITIL 4 MP has been created for IT practitioners working within technology and digital teams across businesses. The Managing Professional (MP) stream provides practical and technical knowledge about how to run successful IT enabled services, teams and workflows. ITIL® is a registered trade mark of AXELOS Limited.
ITIL4 Managing Professional

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5,0
$160,00 AUD
Enhance Excel Macro for Google Sheets
He worked hard to make the macro do what we needed.
Visual Basic
Data Entry
Excel
Visual Basic for Apps
Google Sheets
Avatar des Nutzers
Flagge von Dallas K.
@djkkak
•
vor 22 Tagen
5,0
$120,00 USD
Engineering Excel Database & Estimating Tool
Excellent work! Highly recommend Ahmed for any excel challenge!
Visual Basic
Excel
Microsoft Access
Database Programming
Database Development
B
Flagge von Brandon H.
@bhobbs28
•
vor 26 Tagen
5,0
$260,00 AUD
Interactive Sales & Inventory Google Sheets
Ahmed really knows his stuff when it comes to Google Sheets. He's a great communicator, always has plenty of time and responds quickly to messages even when it's after hours. I'd highly recommend working with Ahmed for any of your Google Sheets needs. Thank you!
PHP
JavaScript
Excel
HTML
Google Sheets
Avatar des Nutzers
Flagge von Mathew C.
@Matagascar
•
vor 27 Tagen
5,0
$100,00 AUD
Doing Some formulas in Google sheets
good communicator , he takes to time to understand what you are looking for in your project, quality of work amazing would recommend to anyone
Data Processing
Data Entry
Excel
Excel VBA
+1 mehr
K
Flagge von Kha A.
@kha31
•
vor 1 Monat
5,0
$100,00 AUD
New properties and reports
Ahmed is one of the best operators I've worked with - I highly recommend him to anyone who needs any data-based projects. Looking forward to working with you again!
Data Processing
Data Entry
Excel
Excel VBA
+1 mehr
E
Flagge von Elliot D.
@elliot1313
•
vor 2 Monaten

Erfahrung

IT Governance General Manager

Company
Mai 2019 - Aktuell
* Direct and monitor information technology capabilities to ensure the delivery of effective value creation of IT investments to support business goals.

ICT QA / Security & Logistics General Manager

Company
Aug. 2015 - Mai 2019 (3 Jahre, 9 Monate)
* Develop and maintain IT security documents including policies and processes in accordance with the latest security guidelines and alignment with business strategies. * Ensure effective monitoring and management of IT security threats, breaches, and major security incidents to protect business operations against violations. * Data quality management regarding accuracy, completeness, consistency, timeliness, uniqueness, and validity of data within company’s information systems.

Assistant General Manager for ICT Quality Assurance and Security

Company
Jan. 2010 - Juli 2015 (5 Jahre, 6 Monate)
* Managing the audit of existing IT systems to ensure compliance with IT security policies and standards.

Ausbildung

Certified Quality Inspector - Institute of Quality Management

The American University in Cairo, Egypt 2011 - 2012
(1 Jahr)

Bachelor of Engineering – Computer & Automatic Control Systems

Ain Shams University, Egypt 1988 - 1993
(5 Jahre)

Qualifikationen

Advanced Data Analysis Nanodegree

Udacity
2021
Udacity Advanced Data Analysis Nanodegree Certificate: * Advanced programming skills and ability to work with messy, complex datasets. * Manipulate and prepare data for analysis, and create visualizations for data exploration. * Tell a story with data. https://graduation.udacity.com/confirm/QMCMYQAN

Data Analysis Professional Nanodegree

Udacity
2021
Udacity Data Analysis Professional Nanodegree Certificate: * Learn the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data. * Use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions. https://graduation.udacity.com/confirm/ADGAYCQX

ITIL® 4 Managing Professional Transition Certificate

PeopleCert - AXELOS
2021
* ITIL 4 Managing Professional (ITIL MP) is a stream of four modules that are part of ITIL 4, the next evolution of ITIL. * ITIL 4 MP has been created for IT practitioners working within technology and digital teams across businesses. * The Managing Professional (MP) stream provides practical and technical knowledge about how to run successful IT enabled services, teams and workflows. ITIL® is a registered trade mark of AXELOS Limited.

Kontaktieren Sie Ahmed H. bezüglich Ihres Jobs

Melden Sie sich an, um Details im Chat zu besprechen.

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Facebook verbunden

Top-Fähigkeiten

Excel 43
Excel Macros 26
Data Processing 24
Data Entry 24
Excel VBA 22

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