Ahmed Abd elghaffar - AI Application Developer | ContraWork by Ahmed Abd elghaffar
Ahmed Abd elghaffar

Ahmed Abd elghaffar

Senior Data Analyst & Analytics Solutions Developer

New to Contra

Ahmed is ready for their next project!

Cover image for DataBridge AI — End-to-End Analytics Platform (Web + Desktop)
DataBridge AI — End-to-End Analytics Platform (Web + Desktop)
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Cover image for DataBridge Pro — M&E Platform for HIV Outreach Program
DataBridge Pro — M&E Platform for HIV Outreach Program
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Cover image for  DataBridge AI (Portfolio Build)
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DataBridge AI (Portfolio Build) A self-initiated build demonstrating end-to-end analytics engineering. DataBridge AI is a Streamlit-based platform covering the full data pipeline: upload CSV, Excel, JSON, Parquet, SQLite, or connect directly to a SQL database, with automatic header detection, whitespace cleanup, and date conversion on import. The platform includes AI-assisted column mapping with confidence scoring, a 0–100 data quality engine, outlier detection (IQR/Z-score), feature engineering tools (encoding, scaling, binning, text extraction), and a no-code ML Studio for classification, regression, and clustering. Also includes a dynamic KPI and target tracker with automatic achievement calculation, and an AI assistant for dataset summarization and analysis — built to showcase range across data engineering, ML tooling, and applied AI.
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Cover image for Built for an Egypt-based NGO
Built for an Egypt-based NGO running an HIV outreach program (Be Frienders, Giza). DataBridge Pro is a bilingual Arabic/English M&E hub deployed on Streamlit Cloud, giving program staff a single place to track KPIs, identify service gaps, and generate donor-ready reports without manual spreadsheet work. The platform replaces manual Excel-based tracking with a live, structured system covering beneficiary reach, prevention tool distribution, demographic breakdowns, and follow-up visit tracking — all in a bilingual interface built for local staff use. Delivered and deployed as an active client platform, not a demo build.
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Cover image for Designed and developed an executive
Designed and developed an executive Tableau dashboard using a fully synthetic investment dataset. The dashboard compares 2024 FDI performance with 2023 and analyzes investment by sector, region, and investor nationality. Key features: • KPI cards for total FDI, active projects, and YoY growth • Sector and regional performance analysis • Investor nationality distribution • Tableau relationships and calculated fields • Dashboard actions and interactive filtering • Executive-level data storytelling The final dashboard showed that 2024 FDI was approximately 14% below 2023 despite a late-year recovery. All data used in this project is synthetic and created for educational and portfolio purposes.
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Cover image for Cleaned and translated 905 Arabic-language
Cleaned and translated 905 Arabic-language beneficiary records for an Egypt-based HIV prevention outreach program into a structured, analysis-ready dataset. Built a Power BI dashboard tracking reach by district, age, and gender, prevention commodity distribution (condoms, lubricants, syringes), and a full HIV testing-to-treatment referral cascade. Includes custom DAX measures for positivity rate, referral rate, and follow-up completion tracking.
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