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$50 USD / hour
Flag of EGYPT
cairo, egypt
$50 USD / hour
It's currently 2:01 AM here
Joined January 4, 2023
0 Recommendations

Christine Z.

@christinezekrian

 5.0 (4 reviews)
2.4
2.4
83%
83%
$50 USD / hour
Flag of EGYPT
cairo, egypt
$50 USD / hour
100%
Jobs Completed
100%
On Budget
100%
On Time
20%
Repeat Hire Rate

Data Analyst / Data Visualization Expert

Hi EveryOne, I'm Christine Zekrian I'm a Fulltime ERP system Admin, Freelancer Data Analyst Specialist and an Excel Expert, I Have:- • Diploma in Computer Science and Operations Research • B.A.A - Management Information Systems • [login to view URL] - Computer Science Skills: ✔ Python/ Pandas/ NumPy ✔ Microsoft Excel ✔ Tableau ✔ Power BI ✔ SQL ✔ VBA ✔ MS Access ✔ Data Wrangling ✔ Data Visualization If you are looking for a Highly professional Data Scientist and excellent communicator then I am your choice. I'm ready to start now.
Freelancer Excel Experts Egypt
See all Excel Experts in Egypt

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Portfolio

11615949
I conducted a comprehensive analysis of a dataset focusing on the performance evaluation of preservice teachers. Utilizing a nuanced rating system spanning from Emergent Candidate to Accomplished Candidate, I explored how teachers align with various standards. The dataset included student-related factors such as GENDER, SAT scores, ACT scores, and CUM GPA. 1. Data Understanding: Thoroughly understood each dataset attribute, especially the nuanced rating system for teacher performance. 2. Data Cleaning: Ensured data integrity by addressing missing or inconsistent entries, guaranteeing a reliable foundation for analysis. 3. Descriptive Statistics: Calculated key statistics, shedding light on the distribution of teacher performance levels and student attributes. 4. Correlation Analysis: Explored relationships between student attributes (SAT, ACT, GPA) and teacher performance ratings, uncovering potential influencing factors. 5. Teacher Performance Analysis: Evaluated teacher performance
Teacher Performance Evaluation Correlation Analysis
I conducted a comprehensive analysis of a dataset focusing on the performance evaluation of preservice teachers. Utilizing a nuanced rating system spanning from Emergent Candidate to Accomplished Candidate, I explored how teachers align with various standards. The dataset included student-related factors such as GENDER, SAT scores, ACT scores, and CUM GPA. 1. Data Understanding: Thoroughly understood each dataset attribute, especially the nuanced rating system for teacher performance. 2. Data Cleaning: Ensured data integrity by addressing missing or inconsistent entries, guaranteeing a reliable foundation for analysis. 3. Descriptive Statistics: Calculated key statistics, shedding light on the distribution of teacher performance levels and student attributes. 4. Correlation Analysis: Explored relationships between student attributes (SAT, ACT, GPA) and teacher performance ratings, uncovering potential influencing factors. 5. Teacher Performance Analysis: Evaluated teacher performance
Teacher Performance Evaluation Correlation Analysis
10864503
The "Exploring Cinema: Data Analysis of TMDB Movie Database with Python" project aims to analyze and gain insights from the TMDB movie dataset using Python programming language. By leveraging Python's data analysis libraries and techniques, the project will explore various aspects of the dataset, including movie genres, ratings, revenue, and popularity. It will involve data cleaning, visualization, and statistical analysis to uncover patterns, trends, and correlations within the movie data. The project aims to provide valuable insights for filmmakers, producers, and movie enthusiasts, helping them make informed decisions and understand the factors that contribute to a movie's success.
Exploring Cinema: DataAnalysis of TMDB Movie Database Python
The "Exploring Cinema: Data Analysis of TMDB Movie Database with Python" project aims to analyze and gain insights from the TMDB movie dataset using Python programming language. By leveraging Python's data analysis libraries and techniques, the project will explore various aspects of the dataset, including movie genres, ratings, revenue, and popularity. It will involve data cleaning, visualization, and statistical analysis to uncover patterns, trends, and correlations within the movie data. The project aims to provide valuable insights for filmmakers, producers, and movie enthusiasts, helping them make informed decisions and understand the factors that contribute to a movie's success.
Exploring Cinema: DataAnalysis of TMDB Movie Database Python
The "Exploring Cinema: Data Analysis of TMDB Movie Database with Python" project aims to analyze and gain insights from the TMDB movie dataset using Python programming language. By leveraging Python's data analysis libraries and techniques, the project will explore various aspects of the dataset, including movie genres, ratings, revenue, and popularity. It will involve data cleaning, visualization, and statistical analysis to uncover patterns, trends, and correlations within the movie data. The project aims to provide valuable insights for filmmakers, producers, and movie enthusiasts, helping them make informed decisions and understand the factors that contribute to a movie's success.
Exploring Cinema: DataAnalysis of TMDB Movie Database Python
The "Exploring Cinema: Data Analysis of TMDB Movie Database with Python" project aims to analyze and gain insights from the TMDB movie dataset using Python programming language. By leveraging Python's data analysis libraries and techniques, the project will explore various aspects of the dataset, including movie genres, ratings, revenue, and popularity. It will involve data cleaning, visualization, and statistical analysis to uncover patterns, trends, and correlations within the movie data. The project aims to provide valuable insights for filmmakers, producers, and movie enthusiasts, helping them make informed decisions and understand the factors that contribute to a movie's success.
Exploring Cinema: DataAnalysis of TMDB Movie Database Python
10866990
COVID-19 Analytics: Real-time Data and Trends is a comprehensive project aimed at providing up-to-date insights and analysis on the COVID-19 pandemic. Utilizing Microsoft Excel, we have developed a dynamic and interactive dashboard that offers a detailed view of the virus's impact globally and locally. The dashboard collects real-time data from reliable sources, including official health organizations and reputable data repositories. It presents the information in a visually appealing and easily understandable format, allowing users to explore trends, patterns, and correlations related to the pandemic.
COVID-19 Analytics: Real-time Data and Trends
10864497
"Visualizing Waste: Exploring Australian State Waste Management with Excel" is a project that utilizes Microsoft Excel's data visualization capabilities to analyze and present waste management metrics in various Australian states. By integrating data from different sources, the project provides interactive dashboards, charts, and geospatial visualizations to showcase waste generation, recycling rates, landfill usage, and trends over time. The insightful and user-friendly reports aim to support evidence-based decision-making and promote transparency, ultimately driving positive changes in waste management practices nationwide.
Visualizing Waste: Exploring Australian State Waste Manageme
11130920
The Power BI Interactive Dashboard for Real Estate project offers a comprehensive and visually appealing solution for analyzing and exploring real estate data. This interactive dashboard provides users with a dynamic platform to gain valuable insights into various aspects of the real estate market, enabling informed decision-making. Key Features: Data Visualization: The dashboard presents real estate data in an intuitive and interactive manner, utilizing visually appealing charts, graphs, maps, and other visual elements to effectively convey information. Geographic Analysis: Explore real estate data geographically, with the ability to view property locations on an interactive map. The map feature allows users to filter data by specific regions, counties, or neighborhoods, providing a comprehensive understanding of the real estate landscape.
Real Estate Insights: Interactive Power BI Dashboard
10864495
The Sales Data Dashboard project aims to streamline the analysis and visualization of sales data using Microsoft Excel. By leveraging Excel's powerful features and functionalities, the project aims to provide an intuitive and user-friendly interface for analyzing sales data, generating insights, and making data-driven decisions. Benefits: Streamlined analysis: The Sales Data Dashboard will simplify the process of analyzing sales data, reducing the time and effort required to generate meaningful insights. Data-driven decision-making: With interactive visualizations and KPIs, decision-makers can make informed choices based on accurate sales data and trends. Improved efficiency: Automating data integration, cleansing, and visualization tasks will save time and allow sales teams to focus on strategic activities. Enhanced collaboration: The dashboard can be shared among team members, facilitating collaboration and enabling real-time data sharing and updates.
Sales Data Dashboard: Streamlining Insights with Microsoft E
11615949
I conducted a comprehensive analysis of a dataset focusing on the performance evaluation of preservice teachers. Utilizing a nuanced rating system spanning from Emergent Candidate to Accomplished Candidate, I explored how teachers align with various standards. The dataset included student-related factors such as GENDER, SAT scores, ACT scores, and CUM GPA. 1. Data Understanding: Thoroughly understood each dataset attribute, especially the nuanced rating system for teacher performance. 2. Data Cleaning: Ensured data integrity by addressing missing or inconsistent entries, guaranteeing a reliable foundation for analysis. 3. Descriptive Statistics: Calculated key statistics, shedding light on the distribution of teacher performance levels and student attributes. 4. Correlation Analysis: Explored relationships between student attributes (SAT, ACT, GPA) and teacher performance ratings, uncovering potential influencing factors. 5. Teacher Performance Analysis: Evaluated teacher performance
Teacher Performance Evaluation Correlation Analysis
I conducted a comprehensive analysis of a dataset focusing on the performance evaluation of preservice teachers. Utilizing a nuanced rating system spanning from Emergent Candidate to Accomplished Candidate, I explored how teachers align with various standards. The dataset included student-related factors such as GENDER, SAT scores, ACT scores, and CUM GPA. 1. Data Understanding: Thoroughly understood each dataset attribute, especially the nuanced rating system for teacher performance. 2. Data Cleaning: Ensured data integrity by addressing missing or inconsistent entries, guaranteeing a reliable foundation for analysis. 3. Descriptive Statistics: Calculated key statistics, shedding light on the distribution of teacher performance levels and student attributes. 4. Correlation Analysis: Explored relationships between student attributes (SAT, ACT, GPA) and teacher performance ratings, uncovering potential influencing factors. 5. Teacher Performance Analysis: Evaluated teacher performance
Teacher Performance Evaluation Correlation Analysis
10864503
The "Exploring Cinema: Data Analysis of TMDB Movie Database with Python" project aims to analyze and gain insights from the TMDB movie dataset using Python programming language. By leveraging Python's data analysis libraries and techniques, the project will explore various aspects of the dataset, including movie genres, ratings, revenue, and popularity. It will involve data cleaning, visualization, and statistical analysis to uncover patterns, trends, and correlations within the movie data. The project aims to provide valuable insights for filmmakers, producers, and movie enthusiasts, helping them make informed decisions and understand the factors that contribute to a movie's success.
Exploring Cinema: DataAnalysis of TMDB Movie Database Python
The "Exploring Cinema: Data Analysis of TMDB Movie Database with Python" project aims to analyze and gain insights from the TMDB movie dataset using Python programming language. By leveraging Python's data analysis libraries and techniques, the project will explore various aspects of the dataset, including movie genres, ratings, revenue, and popularity. It will involve data cleaning, visualization, and statistical analysis to uncover patterns, trends, and correlations within the movie data. The project aims to provide valuable insights for filmmakers, producers, and movie enthusiasts, helping them make informed decisions and understand the factors that contribute to a movie's success.
Exploring Cinema: DataAnalysis of TMDB Movie Database Python
The "Exploring Cinema: Data Analysis of TMDB Movie Database with Python" project aims to analyze and gain insights from the TMDB movie dataset using Python programming language. By leveraging Python's data analysis libraries and techniques, the project will explore various aspects of the dataset, including movie genres, ratings, revenue, and popularity. It will involve data cleaning, visualization, and statistical analysis to uncover patterns, trends, and correlations within the movie data. The project aims to provide valuable insights for filmmakers, producers, and movie enthusiasts, helping them make informed decisions and understand the factors that contribute to a movie's success.
Exploring Cinema: DataAnalysis of TMDB Movie Database Python
The "Exploring Cinema: Data Analysis of TMDB Movie Database with Python" project aims to analyze and gain insights from the TMDB movie dataset using Python programming language. By leveraging Python's data analysis libraries and techniques, the project will explore various aspects of the dataset, including movie genres, ratings, revenue, and popularity. It will involve data cleaning, visualization, and statistical analysis to uncover patterns, trends, and correlations within the movie data. The project aims to provide valuable insights for filmmakers, producers, and movie enthusiasts, helping them make informed decisions and understand the factors that contribute to a movie's success.
Exploring Cinema: DataAnalysis of TMDB Movie Database Python
10866990
COVID-19 Analytics: Real-time Data and Trends is a comprehensive project aimed at providing up-to-date insights and analysis on the COVID-19 pandemic. Utilizing Microsoft Excel, we have developed a dynamic and interactive dashboard that offers a detailed view of the virus's impact globally and locally. The dashboard collects real-time data from reliable sources, including official health organizations and reputable data repositories. It presents the information in a visually appealing and easily understandable format, allowing users to explore trends, patterns, and correlations related to the pandemic.
COVID-19 Analytics: Real-time Data and Trends
10864497
"Visualizing Waste: Exploring Australian State Waste Management with Excel" is a project that utilizes Microsoft Excel's data visualization capabilities to analyze and present waste management metrics in various Australian states. By integrating data from different sources, the project provides interactive dashboards, charts, and geospatial visualizations to showcase waste generation, recycling rates, landfill usage, and trends over time. The insightful and user-friendly reports aim to support evidence-based decision-making and promote transparency, ultimately driving positive changes in waste management practices nationwide.
Visualizing Waste: Exploring Australian State Waste Manageme
11130920
The Power BI Interactive Dashboard for Real Estate project offers a comprehensive and visually appealing solution for analyzing and exploring real estate data. This interactive dashboard provides users with a dynamic platform to gain valuable insights into various aspects of the real estate market, enabling informed decision-making. Key Features: Data Visualization: The dashboard presents real estate data in an intuitive and interactive manner, utilizing visually appealing charts, graphs, maps, and other visual elements to effectively convey information. Geographic Analysis: Explore real estate data geographically, with the ability to view property locations on an interactive map. The map feature allows users to filter data by specific regions, counties, or neighborhoods, providing a comprehensive understanding of the real estate landscape.
Real Estate Insights: Interactive Power BI Dashboard
10864495
The Sales Data Dashboard project aims to streamline the analysis and visualization of sales data using Microsoft Excel. By leveraging Excel's powerful features and functionalities, the project aims to provide an intuitive and user-friendly interface for analyzing sales data, generating insights, and making data-driven decisions. Benefits: Streamlined analysis: The Sales Data Dashboard will simplify the process of analyzing sales data, reducing the time and effort required to generate meaningful insights. Data-driven decision-making: With interactive visualizations and KPIs, decision-makers can make informed choices based on accurate sales data and trends. Improved efficiency: Automating data integration, cleansing, and visualization tasks will save time and allow sales teams to focus on strategic activities. Enhanced collaboration: The dashboard can be shared among team members, facilitating collaboration and enabling real-time data sharing and updates.
Sales Data Dashboard: Streamlining Insights with Microsoft E

Reviews

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Showing 1 - 4 out of 4 reviews
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5.0
€15.00 EUR
Excel Management for Airbnb Rental Control
Christine made a great job.
Data Processing
Excel
T
Flag of Nuno A.
@tatankov
•
3 months ago
5.0
$120.00 AUD
Project for Christine Z.
ive worked with many times and always delivers
Visual Basic
Excel
Excel VBA
Excel Macros
+1 more
User Avatar
Flag of Adrian P.
@pattoplus
•
4 months ago
5.0
$70.00 AUD
CRM excel spreadsheet using macros with VB code
Great to work with, I will use again
Visual Basic
Excel
VB.NET
User Avatar
Flag of Adrian P.
@pattoplus
•
6 months ago
5.0
$10.00 USD
Financial Dashboard, Google Sheets
I had the pleasure of collaborating with an outstanding Data Analyst and Dashboard Designer freelancer. Their analytical skills were remarkable, delivering accurate insights. The visually appealing dashboards they created facilitated data interpretation and decision-making. Their professionalism, adaptability, and commitment to timelines were commendable. Highly recommended!
Excel
Data Visualization
Power BI
User Avatar
Flag of Atef G.
@atefmcse
•
10 months ago

Experience

ERP System Admin , Computer Supervisor

Alkarma Language Schools
Sep 2014 - Present
● ERP System Admin "Manage and support LMS " ● Studets Control System Admin " Create and Apply all student's grade and design all school Reports" ● Computer Supervisor "ICT instructor for High school students"

Education

Institute of Educational Studies and Research, General Diploma in Educational Sciences

Cairo University, Egypt 2014 - 2015
(1 year)

Institute of Statistical Studies and research (ISSR), Diploma in Computer Science,Operation Research

Cairo University, Egypt 2005 - 2007
(2 years)

Future Academy Bachelor of Commerce in Business - Administration- Management Information Systems

Cairo University, Egypt 2001 - 2005
(4 years)

Qualifications

Data Visualization in Excel

Macquarie University
2023
Excel Skills for Data Analytics and Visualization Specialization Data Visualization in Excel

Create Charts and Dashboards Using Microsoft Excel

Coursera
2023
Create Charts and Dashboards Using Microsoft Excel an online non-credit project authorized by Coursera Project Network and offered through Coursera

Data Analysis Professional

Udacity
2022
Udacity, Data Analysis Professional (Scholarship 2022) Online Nanodegree Program November, 2022 ● Data Analysis Professional

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Top Skills

Excel 5
Visual Basic 3
Excel VBA 2
Excel Macros 2
Data Visualization 2

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