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صورة

Salahaldin Hameed

Last login: 4 hours ago

AI Engineer | Data Science | Data Analysis | Data Engineer | Backend Development

Skills and tools

اللغة الإنجليزية
Excel
القدرة على التعامل مع برامج الحاسوب المختلفة
القدرة على تحمل ضغط العمل
Computer Skills
IT skills
Power BI
Python
SQL

Education

بكالوريوس
الجامعة الاسلامية

Work Experience

June 2023 -August 2023
Backend Developer Laravel
Gaza Sky Geeks

Completed a 3-month intensive back-end development training using the Laravel framework, covering PHP fundamentals, OOP, MVC architecture, and API design.

Developed and deployed multiple web applications including School Attendance, Classroom, File Sharing, Leave Management, and CRM systems.

Implemented advanced Laravel features such as authentication and authorization (Sanctum, Fortify), database migrations, Eloquent relationships, and API integration

Utilized queues, schedulers, notifications, and Firebase Cloud Messaging (FCM) to enhance application performance and user engagement.

November 2024 -January 2025
Data Analyst
Gaza Sky Geeks

Completed a 90-hour structured training program covering fundamentals to advanced levels in data analysis

Applied practical data cleaning, transformation, and visualization techniques using Power BI, Python, and Tableau.

Analyzed real-world datasets from Excel and SQL sources through task-based assignmentssimulating real humanitarian and business scenarios.

Built interactive dashboards and analytical reports focused on job market data and key business indicators.

Strengthened ability to support evidence-based decision-making through visual storytelling, performance tracking, and KPI reporting

June 2025 -August 2025
AI Engineer
INSTANT

Completed a 1-month intensive AI engineering internship focused on real-world projects inmachine learning, deep learning, computer vision, NLP, automation, and data analysis.

Analyzed 3,900+ retail transactions with SQL and Python; created an interactive Power BIdashboard for Shopping Trends Analysis.

Developed a web app for brain tumor classification and segmentation using deep learningtechniques (OpenCV and Streamlit).

Built an LSTM-based sentiment analysis app with real-time prediction UI for text classification.

Implemented NLP pipelines for text summarization and Q&A using BART and RoBERTa models via Hugging Face.

Created a document Q&A system using retrieval-augmented generation (RAG) with FAISS and Mistral 7B for PDF-based queries.

Developed an AI image generator app using Replicate API and Streamlit for interactive prompt- based image creation.

Enabled team engagement by automating workshop reminders via n8n integrated with Google Sheets and Gmail, and scheduled calendar events using Make.com on Telegram.

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