As a structured, ambitious and self-educated software engineer, I seek to apply my skills in a real challenge and a friendly environment to deliver a complete and perfect work at a specific time with little money because this kind of work I am passionate about.
Skilled in solve problems with code in the most varied and knowledgeable programming languages like python, c++ ,java ,c# ,...ect.
Skilled in web scraping with python to extract specific infromation in desired format like csv ,json and so on
Enthusiastic and ambitious Business Intelligence Analyst skilled in tools that apply this kind of job. Patient to understand the working life cycle before applying tools to provide ideals for improving work.
1-Working with many business intelligence and data analysis tools like Excel ,SAS Viya ,Power BI, SQL server(SSIS,SSAS,SSRS).
2-Skilled in Writing optimized SQL queries to select specific information from large data that fulfill the business need to make decision.
3-Skilled in Data Preparation with large amount(Big data) stored in data warehouse to ensure that data in an integrated way to apply tools on it.
4-Skilled in machine learning models for effective prediction and classification performance, as well as for forecasting the future of business
5-skilled in visualization, building paginated reports with dashboard, and optimizing report performance.
6-skilled in the Base Programming SAS||Advanced SAS Visual Analytics
7-Skilled in Digital Image Processing and computer vision With OpenCV
I wanted to express my joy for the exceptional work you delivered during our collaboration. Your dedication, expertise, and professionalism exceeded my expectations. Your attention to detail, problem-solving skills, and innovative solutions were impressive. Your clear communication and prompt responses made the process smooth. The high-quality deliverables tailored to our requirements showcased your expertise. I am truly grateful for your contributions and would highly recommend your services.
She was also very responsive to any questions or concerns I had and was always available to discuss any issues that arose.
One thing I appreciated about this was her willingness to collaborate.
She was open to my ideas and suggestions, and we worked together to come up with a solution that exceeded her expectations.
Overall, I would highly recommend her to your next project. Her professionalism, communication skills, and willingness to collaborate make her an excellent partner for any freelance.
-SAS Programming 1 Essentials | SAS Programming 2 Data Manipulation Techniques
learn how to write using the SAS DATA step to access, explore, prepare, and analyze data. data manipulation techniques.
-SAS Visual Analytics 1 for SAS Viya Basics | SAS Visual Analytics 2 for SAS Viya Advanced
learn data preparation, data discovery, report creation, and advanced features.
Ministry of Health and Population, Egypt
янв. 2021 - июл. 2022 (1 год, 6 месяцев)
“Taklef Saydla System” for the Ministry of Health and Population, Egypt , A management system and mobile application
managing pharmaceutical affairs, work on Backend part for system deal with Database SQL Server & Restful Api.
Beni-Suef University, Egypt 2018 - 2022
SAS Programming 1: Essentials
Use SAS Studio and SAS Enterprise Guide to write and submit SAS programs.
Access SAS, Microsoft Excel, and text data.
Explore and validate data.
Prepare data by subsetting rows and computing new columns.
Analyze and report on data.
Export data and results to Excel, PDF, and other formats.
Use SQL in SAS to query and join tables.
SAS Programming 2: Data Manipulation Techniques
Understand and control DATA step processing.
Create an accumulating column and process data in groups.
Manipulate data with functions.
Convert column type.
Create custom formats.
Concatenate and merge tables.
Process repetitive code.
Data Literacy Essentials
See the utility of data.
Interrogate reliability of data.
Discover meaning in data by looking for patterns and trends.
Use data insights to make informed decisions.
Communicate data insights to others.
Understand how bias impacts our work with data.