As a software business analyst, I specialize in bridging the gap between business stakeholders and technical teams to ensure the successful delivery of software solutions. With expertise in requirements gathering, functional specification development, and agile methodology, I am skilled in facilitating communication and collaboration throughout the software development life cycle (SDLC).
In addition, my proficiency in agile methodology allows me to effectively manage project scope, prioritize requirements, and ensure the timely delivery of software solutions. I am also experienced in conducting user acceptance testing and facilitating user training to ensure the successful adoption of software solutions.
[email protected] +20- 101- 848- 2918
http://github.com/reda180599 Nasr City, Cairo, Egypt
As a software business analyst, I specialize in bridging the gap between business stakeholders and technical teams to ensure the successful delivery of software solutions. With expertise in requirements gathering, functional specification development, and agile methodology, I am skilled in facilitating communication and collaboration throughout the software development life cycle (SDLC).
The Graduate Rotational Internship Program (GRIP) is the flagship program of TSF in which students, recent graduates, and professionals focus on technical skills development.
The program offers a platform to connect with students and professionals from varied diversity, backgrounds, skills, and countries. GRIP is a 1-month, unpaid, and virtual internship. It is open to students and professionals from all expertise levels and backgrounds. The tasks are beginner as well as advanced levels, and you can select which one you want to work on.
Job Description:
Write codes to collect, crunch and analyze data from internal and external sources
Build machine and tune learning models using R, Python, and or any language/tool you are comfortable with
Using BI tools such as Tableau, and Power BI to analyze data, and find important patterns.
.Graduation IBook
Description: Website for all people related to health organizations and anyone who deals with it
Grade: Excellent (Graduation Project).
. STW Team – EG / HR
October 2020 - October 2021 Cairo – Egypt Science and Technology World team, I was gaining the price of the best member of the year
Implement a simple linear regression to a dataset related to fuel consumption and carbon dioxide emissions from cars. Create a model using a training set, evaluate a model using a test set, and finally use a model to predict an unknown value.
Identifying different types of campaigns works better for specific clusters of customers. Marketing Campaign - The goal of that analysis is to identify or choose the best types of campaigns that work better for specific clusters of customers.
I used Python and Excel, to make some predictions statistics, and insights from the data, first loading data from the .csv file and making it clean, then using Python to analyze using pandas, Matplotlib, and other packages.
I used a ready dataset on Kaggle to make a Startup Expansion analysis and build dashboards and reports. I used Python to analyze using pandas, matplotlib, numpy, and Power BI in data visualization.
As a software business analyst, I specialize in bridging the gap between business stakeholders and technical teams to ensure the successful delivery of software solutions. With expertise in requirements gathering, functional specification development, and agile methodology, I am skilled in facilitating communication and collaboration throughout the software development life cycle (SDLC).
In addition, my proficiency in agile methodology allows me to effectively manage project scope, prioritize requirements, and ensure the timely delivery of software solutions. I am also experienced in conducting user acceptance testing and facilitating user training to ensure the successful adoption of software solutions.
[email protected] +20- 101- 848- 2918
http://github.com/reda180599 Nasr City, Cairo, Egypt
As a software business analyst, I specialize in bridging the gap between business stakeholders and technical teams to ensure the successful delivery of software solutions. With expertise in requirements gathering, functional specification development, and agile methodology, I am skilled in facilitating communication and collaboration throughout the software development life cycle (SDLC).
The Graduate Rotational Internship Program (GRIP) is the flagship program of TSF in which students, recent graduates, and professionals focus on technical skills development.
The program offers a platform to connect with students and professionals from varied diversity, backgrounds, skills, and countries. GRIP is a 1-month, unpaid, and virtual internship. It is open to students and professionals from all expertise levels and backgrounds. The tasks are beginner as well as advanced levels, and you can select which one you want to work on.
Job Description:
Write codes to collect, crunch and analyze data from internal and external sources
Build machine and tune learning models using R, Python, and or any language/tool you are comfortable with
Using BI tools such as Tableau, and Power BI to analyze data, and find important patterns.
.Graduation IBook
Description: Website for all people related to health organizations and anyone who deals with it
Grade: Excellent (Graduation Project).
. STW Team – EG / HR
October 2020 - October 2021 Cairo – Egypt Science and Technology World team, I was gaining the price of the best member of the year
Implement a simple linear regression to a dataset related to fuel consumption and carbon dioxide emissions from cars. Create a model using a training set, evaluate a model using a test set, and finally use a model to predict an unknown value.
Identifying different types of campaigns works better for specific clusters of customers. Marketing Campaign - The goal of that analysis is to identify or choose the best types of campaigns that work better for specific clusters of customers.
I used Python and Excel, to make some predictions statistics, and insights from the data, first loading data from the .csv file and making it clean, then using Python to analyze using pandas, Matplotlib, and other packages.
I used a ready dataset on Kaggle to make a Startup Expansion analysis and build dashboards and reports. I used Python to analyze using pandas, matplotlib, numpy, and Power BI in data visualization.