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Schedule Interview NowMy name is Mohammed A. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Google Sheets, Python, Microsoft Excel, Microsoft Power BI, Data Science, etc.. I hold a degree in Bachelor of Computer Science (BCompSc), Bachelor of Applied Science (BASc). Some of the notable projects I’ve worked on include: Airbnb Riyadh, Analyzing Hospital Care Quality, Store-Performance-and-Subscription-Analysis-Excel-Dashboard, IBM Data Analyst Capstone Project. I am based in Sanaa, Yemen. I've successfully completed 4 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I’m motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
Main technologies
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Data Science Yemen
Power BI dashboard exploring Airbnb bookings in Riyadh for the next three months. This project provides key insights into the short-term rental market. 🛠️ Project Details: • Data Engineering: I used Python and Geopy to enrich it with precise addresses through reverse geocoding. • Data Transformation: Cleaned and structured the data with Power Query (M), extracting nested details and calculating metrics like revenue and taxes. • Dashboard Design: Includes KPIs, interactive charts, 3D Azure Maps, and slicers for user-friendly filtering.
This analysis of HCAHPS survey results aimed to assess whether hospitals have improved their care quality over 9 years. Key findings show a decline in response rates from 31% to 23%, indicating reduced trust in surveys. Discharge information and communication with doctors/nurses were top-rated, but care transitions and hospital quietness need improvement. South Dakota and Nebraska reported high patient satisfaction. Recommendations include increasing survey awareness, enhancing care transitions, and focusing on areas like communication and quietness in specific states.
The dashboard analysis features total sales of $56,195,754 from 3,730,127 orders and 550 customers across 5 stores. It includes visualizations like sales performance by store, number of stores by plan, and yearly/monthly sales trends. Key charts include sales by store, store plan distribution, and plan comparisons. Interactive elements allow filtering by year, status, and Customer Success Manager. Tools used include Power Query, Excel, advanced formulas, pivot tables, and conditional formatting. This project highlights expertise in data visualization and strategic insights.
Introduction: • Stack Overflow is a go to platform where developers ask and answer technical questions, creating a vast knowledge base. • It hosts a job board for tech professionals to find job opportunities in the industry. • Nearly 90,000 developers. Methodology and Steps : • Collect and Explore Data • Web Scraping • APIs • Databases • Data Cleaning and Wrangling • Exploratory data analysis • Analyzing data distribution. • Handling outliers. • Correlations. • Data Visualizations and Dashboard •Highlight distribution of data, relationships, the composition and comparison of data. •Creating Dashboards
Bachelor of Computer Science (BCompSc) in Software Engineering
2015-01-01-2019-01-01
Bachelor of Applied Science (BASc) in Data Science
2019-01-01-2023-01-01