Projects using Python in Giza
Projects using Python in Giza
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Hazem Khaled
Excited to share a new milestone! I’m thrilled to announce that I have successfully completed the AI & Machine Learning track at AMIT Learning (https://www.linkedin.com/company/amit-learning/) with a grade of 99%! ✨️ Throughout this journey, I’ve focused on bridging the gap between theoretical knowledge and real-world application, applying these concepts directly to hands-on projects like my current Traffic Congestion Analysis using Python, Pandas, and advanced data cleaning techniques. A big thank you to Maria Roshdy (https://www.linkedin.com/in/maria-roshdy-3b3000234/) and the entire team at AMIT Learning (https://www.linkedin.com/company/amit-learning/) for the valuable guidance and great learning experience. Looking forward to the next steps into predictive modeling and AI solutions! #ArtificialIntelligence (https://www.linkedin.com/search/results/all/?keywords=%23artificialintelligence&origin=HASH_TAG_FROM_FEED) #MachineLearning (https://www.linkedin.com/search/results/all/?keywords=%23machinelearning&origin=HASH_TAG_FROM_FEED) #DataScience (https://www.linkedin.com/search/results/all/?keywords=%23datascience&origin=HASH_TAG_FROM_FEED) #AMIT (https://www.linkedin.com/search/results/all/?keywords=%23amit&origin=HASH_TAG_FROM_FEED) #Python (https://www.linkedin.com/search/results/all/?keywords=%23python&origin=HASH_TAG_FROM_FEED) #DataAnalytics (https://www.linkedin.com/search/results/all/?keywords=%23dataanalytics&origin=HASH_TAG_FROM_FEED)
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Shrief Khamis
Designed and built a configurable Python engine for generating large, realistic relational datasets with preserved primary-key and foreign-key relationships. The system supports reusable business templates, weighted distributions, multiple ID strategies, and scalable generation across related tables. Performance work increased throughput to more than 300,000 rows per second in large benchmark runs. The project is being extended with dirty-data injection, validation reports, and additional output formats.
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Yossef Ayman Zedan
Contract Control Center is a local-first contract analysis tool I built that turns a folder of contracts into a full risk pack: a portfolio table, a renewal and notice calendar, CFO-ready review questions, and exportable Excel, PDF, and calendar files. Every extracted value traces back to the exact quoted sentence and page it came from, so nothing is guessed. It reads the full document rather than sampling it, catches auto-renewal traps and uncapped liability clauses, and turns messy payment schedules and notice periods into a calendar you can actually act on before a deadline passes. It runs entirely on your machine with a local AI model, so contracts never have to leave your network.
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Sara Mahran
AI Pair Engineer
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Sameh Hasan
Web Scraper Selenium web driver
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Ahmed Mohsen
developed custom web scrapers to extract and consolidate common issues and solutions for Siemens PLCs from official manufacturer forums and client-provided websites. The extracted information was standardized into a single dataset that preserved downloadable media links for added context. Ultimately, this process yielded over one million problem-solution pairs with vote-weighted ratings, which successfully trained a diagnostic Machine Learning model.
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Hassan Jalloh
HassanA99/Rand_Dollar_Model_Analysis
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Mahmoud Amr
Youtube Channels Scraper, Analyzer and AI Model Generation.
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Ibrahim Nader
Coffee Shop Sales Analysis
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Ehab Botros
Sales KPIs
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Moataz ElSherbini
Smart Community Management App
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Mohamad Salem
Python Script, CSV Data Wrangling
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Ahmedsami
I built an AI Email Spam Classifier that filters spam automatically — so teams don’t waste time digging through junk mail. 💼 Why it matters: Keeps your inbox clean and organized Protects from phishing & spam Helps you focus on real clients and leads 🧠 Tech: Python, Scikit-learn, TF-IDF, Random Forest 👉 If your business relies on email, I can integrate a custom version to make your inbox smarter.
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Zeyad Mohamed Soliman
Python Insights Blog
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Alya Othman
Leveraging Selenium and pixelmatch for Effective Visual Testing
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Shehabeldin Solyman
Lung Tumor Detection and Recognition Using Deep Learning in CNN
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