Freelancers using Python in Giza
Freelancers using Python in Giza
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Hazem Khaled
Giza, Egypt
Data Analyst & Computer Engineer | Power BI & SQL Expert
5.0
Rating
10
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Data Analyst & Computer Engineer | Power BI & SQL Expert
0
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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I’m glad to share that I have successfully completed the Quantium Data Analytics Job Simulation on Forage! 📊 During this practical experience, I worked on end-to-end data analytics tasks including: 🔹 Data Cleaning & Preparation using Python. 🔹 Customer Segmentation & Purchasing Behavior Analysis to identify key drivers. 🔹 Statistical Testing (A/B testing) to evaluate trial store layout performance. 🔹 Data Visualization & Executive Commercial Reporting. Gained hands-on experience in translating raw data into actionable business recommendations!
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This might be the project that took the most time and effort to bring to a final finish line, but the result is truly worth it. I am thrilled and excited to share with you OmniPulse Analytics Hub, an end-to-end Business Intelligence project I’ve been working on. The idea wasn't just about putting a few charts together; the real challenge was deep in the backend and setting up a solid data model: linking 18 tables, building a proper Star Schema, and writing custom DAX measures to deliver accurate, error-free KPIs. In this project, I focused on: • Professional data cleaning and preprocessing. • Table relationships and implementing Time-Intelligence using a dedicated DimDate table. • Developing advanced DAX measures to analyze sales trends, return rates, and inventory levels. • Designing a clean and intuitive user interface enabling management to read the numbers and make instant decisions. • Integrating a one-click Executive Summary providing a complete project overview, key metrics, and dashboard status for immediate decision-making. The dashboard features two main sections: 📌 Executive Overview (Comprehensive view of revenue, total sales, and overall performance rates) 📌 Category & Sales Breakdown (In-depth category analysis and low-stock tracking) The biggest takeaway from working on this project: A massive amount of disorganized data is worthless. The true art lies in turning a mess of numbers into a clear, actionable story. I'd love to hear your thoughts and welcome any feedback or suggestions! 👇 #PowerBI #DataAnalytics #BusinessIntelligence #PowerQuery #DAX #DashboardDesign #DataVisualization #DataModeling #Retail #DataScience
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Here is a professional English translation of your post that captures the exact same message and tone: Just wrapped up the project, and I realized this is definitely the picture worth sharing the most! 😁 Sometimes people look at the final dashboard and think that’s where all the work happens, but the real magic starts right here... the Data Model. Behind every single relationship here is a lot of thinking, testing, and tweaking until everything finally clicked into place. Alhamdulillah, the project is officially complete, and I’ve learned way more from it than I initially expected. Any feedback is more than welcome! 🙏 #PowerBI #DataAnalytics #PowerBIDeveloper #Portfolio #OpenToWork
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320
Python
(6)
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Yossef Ayman Zedan
Cairo, Egypt
I build AI agents that automate business workflows
New to Contra
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I build AI agents that automate business workflows
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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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LeadBot is a B2B lead automation platform I built that turns raw scraped LinkedIn data into scored, tiered leads with personalized outreach ready to send. It extracts company and profile links from raw page data, runs each lead through a scoring pipeline that checks hiring signals and applicant volume before spending on deeper enrichment, then classifies leads as Cold, Warm, or Hot with transparent reasoning behind every score. For qualified leads, it generates personalized connection notes and follow-up messages based on the specific role or signal that made them worth reaching out to, not generic templates. Built with LangGraph orchestration and Ollama for the scoring and message generation, with every lead persisted so nothing gets processed twice.
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OneRecruiter is an AI-powered candidate screening tool I built for small staffing agencies, where AI screening rejects good candidates and consultants can't afford to look like a black box. Every criterion in a role's rubric is scored independently with a transparent, auditable rationale, so recruiters see exactly why a candidate scored 90% instead of trusting a mystery number. The standout feature is candidate pooling: agencies upload their CV database once and it stays matched against every future job, so a candidate sourced for one role automatically surfaces for the next relevant opening. Validated it end-to-end with a real staffing agency client, running a live CAD Designer search against 12 candidates with synthetic test data before their real screening.
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InvoiqAI is an AP invoice automation tool I built that reads invoices, purchase orders, and delivery receipts, cross-checks them against each other, and routes approvals automatically, so AP teams stop manually keying numbers and stop paying invoices nobody actually verified. It runs full three-way matching on every document, flags price or quantity mismatches with plain-English reasoning, and catches duplicate invoices before they get paid twice. Approval rules route small invoices to auto-approve and larger ones to the right person, so nothing sits in a queue waiting on a human unless it actually needs one. Tested across 85+ real documents with a 96.5% extraction pass rate.
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31
Python
(4)
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Mohamad Salem
Cairo, Egypt
Software Engineer and Automation Expert
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Software Engineer and Automation Expert
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ArcGIS Automation for Reporting
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8
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Python Script, CSV Data Wrangling
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10
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Backend Development and AI Integration
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15
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Zappyrent
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37
Python
(3)
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Sara Mahran
Giza, Egypt
Meticulous Web Dev & Design Craftswoman
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Meticulous Web Dev & Design Craftswoman
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AI Pair Engineer
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5
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Rouya (رؤيا, "vision") is a Flutter app for professionals to track achievements, career journey, teaching, and favorite quotes in one place. It has a live dashboard with streak tracking, a custom achievement system, a career module for logging interviews with outcomes and ratings, a teaching tracker, and a quotes library with favorites. It integrates with Supabase to pull live candidate survey data from real interviews, visualizing feedback across multiple dimensions. Rouya supports two dark themes (Feminine Power and Obsidian), uses Provider for state management, and reflects real data: 865+ books finished, 130+ students mentored, 32 interviews at 9.6/10 satisfaction.
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Here's a polished project description for your Contra profile: Project Title: Baed Connect — AI-Powered Career Platform for People with Disabilities Short tagline (shown under title): Education for employment is accessible. Full description: Baed Connect is an educational and job-matching platform designed to help people with disabilities build real careers in content marketing — and help employers build truly inclusive teams. The platform was initially prototyped using Lovable, then taken into full source code ownership and extended with custom features, real AI integration, and a production-grade codebase built in React + TypeScript. The core feature is the AI Career Match — powered by Google Gemini. Candidates describe their background, disability type, and accessibility needs. The AI analyzes their profile against real job listings and courses on the platform and returns a fully personalized career report including a job match with explanation, recommended learning path, their strongest selling point as a candidate, tailored resume tips, and interview preparation specific to their background and matched role. What the platform includes: AI Career Match powered by Google Gemini AI Learning Hub with 6 accessible content marketing courses Job Matching board with remote-friendly, inclusive employer listings Mentorship program for one-on-one career guidance Employer-facing resources on disability inclusion and accessible content Accessibility Resources covering visual, audio, motor, and cognitive needs Built with: React, TypeScript, Vite, Tailwind CSS, shadcn/ui, Google Gemini API, Vercel Impact: Baed Connect bridges the gap between talent and opportunity for people with disabilities in the Arab region — creating pathways to meaningful, remote-friendly employment in digital content and marketing. This isn't charity. This is smart, inclusive business.
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Aview is a one-stop-shop review platform for restaurants, cafés, gyms, art galleries, and co-working spaces. The 6-month project covers the full UX/UI process — research, IA, wireframing, style guide, and hi-fi prototype. Key decisions include a gamified Explore/Review/Earn system, an orange/purple palette rooted in food psychology, and a category-grid home for effortless discovery. Built with Flutter and Firebase, source code on GitHub.
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65
Python
(1)
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Shrief Khamis
Cairo, Egypt
Backend Engineer | APIs, Data Pipelines & AI
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Backend Engineer | APIs, Data Pipelines & AI
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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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Analyzed approximately 600,000 column headers across a large collection of Google Sheets to identify recurring data fields, naming inconsistencies, and common schema patterns. Built an automated extraction and analysis workflow to process the spreadsheets at scale, normalize similar headers, group related fields, and surface the data structures most frequently requested across projects. The findings were used to support schema standardization and improve consistency in future data collection workflows.
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Designed and built an AI-assisted research system that automates the process of locating, prioritizing, and extracting information from websites. The system crawls relevant pages, retrieves the most useful content, and uses Retrieval-Augmented Generation (RAG) to answer user questions with supporting quotations and source references. Built with a modular architecture to support multiple research tasks while minimizing unnecessary crawling and reducing manual research effort.
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Designed and built an end-to-end data collection pipeline used by a distributed team. A custom browser extension captured structured data during normal workflows and sent it to a FastAPI service for validation, transformation, and centralized processing before storage in PostgreSQL on AWS RDS. The system replaced a manual collection step, handled roughly 5,000 records per day, and was designed for reliable API communication, maintainability, and future expansion.
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26
Python
(4)
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Sameh Hasan
Cairo, Egypt
I can answer your data questions
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I can answer your data questions
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Web Scraper Selenium web driver
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16
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Program Utilization
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29
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COVID19 Deep Analysis
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17
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Excel Bike Sales Dashboard
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14
Python
(2)
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Mahmoud Amr
Cairo, Egypt
AI Automation & Data Engineering | Senior Full-Stack Eng
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AI Automation & Data Engineering | Senior Full-Stack Eng
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Data Scraping for Market Insight: Revolutionizing E-commerce and
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12
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Youtube Channels Scraper, Analyzer and AI Model Generation.
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13
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Automated Streamlining and Summarizing of Financial News
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13
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Python
(3)
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Ibrahim Nader
Cairo, Egypt
Data analysis & data visualization
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Data analysis & data visualization
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Coffee Shop Sales Analysis
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12
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HR Data Analysis
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7
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Sales Analysis
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11
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Python
(1)
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