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사용자 아바타

Nour E.

@noursherif030

annual-level-three.svgverified-v2.svgpreferred-freelancer-v3.svg
5.0
39
5.0
5.0
90%

Preferred Full Stack "TOP 2% Software Architect"

$50 USD / 시간
・
국기 ()
Egypt (8:38 PM)
・
1월 6, 2021에 가입
$50 USD / 시간
・
Software Engineer | Cybersecurity Specialist | Network Security Engineer | Embedded Systems Developer | Medical Coder I am a versatile professional with over 3 years of experience in software engineering, embedded systems, cybersecurity, network security, and medical coding. As a senior computer science student, I combine academic excellence with hands-on expertise to deliver high-quality solutions across various domains. Services Offered: ☑️ Software Development Full-stack web development Desktop applications API integrations and automation scripts ☑️ Embedded Systems Design Development of IoT systems Hardware-software integration Microcontroller programming ☑️ Cybersecurity Solutions Threat analysis Vulnerability assessments Penetration testing Security architecture design ☑️ Network Security Network configuration Troubleshooting and optimization using Cisco technologies ☑️ Medical Coding Accurate ICD-10 medical coding Compliance audits for healthcare organizations ☑️ Technical Writing Deliverables: -Custom software applications -Embedded IoT solutions -Secure and optimized network architectures -Comprehensive cybersecurity audit reports -Accurate and compliant medical coding records -Training modules and documentation Technical Proficiencies: ☑️ Programming Languages: Python, Java, C#, JavaScript, C, C++ ☑️ Embedded Systems Tools: Arduino IDE, PlatformIO, Keil uVision, Microchip MPLAB X ☑️ Microcontrollers: Arduino, ESP8266/ESP32, STM32, Raspberry Pi ☑️ IoT Protocols: MQTT, HTTP, WebSocket, Zigbee ☑️ Tools & Technologies: Docker, Git, Jenkins, SQL, MySQL, Wireshark ☑️ Cybersecurity Frameworks: NIST, ISO 27001, OWASP ☑️ Networking Tools: Cisco Packet Tracer, GNS3 ☑️ Medical Coding Software: 3M CodeFinder, TruCode Encoder Certifications: Cisco Certified Network Associate (CCNA) Cisco Certified Network Professional (CCNP) Cisco Certified Ethical Hacker (CEH) Junior Cybersecurity Analyst (Cisco) ICD-10 Medical Coding Certification CompTIA Security+ Certified Information Systems Security Professional (CISSP) Offensive Security Certified Professional (OSCP) Certified Kubernetes Administrator (CKA) AWS Certified Solutions Architect – Associate Google IT Support Professional Certificate Certified Ethical Hacker (CEH) Practical ITIL Foundation Certificate in IT Service Management Arduino Fundamentals Certification IoT Fundamentals: Connecting Things by Cisco Language & Communication: I am highly proficient in English, with excellent written and verbal communication skills. I excel at delivering clear and concise documentation, ensuring seamless collaboration, and tailoring solutions to meet client needs. ? Let’s work together to bring your projects to life!
인증
제시간에
100%
예산 금액 내에
100%
금액 수락
88%
재채용률
4%
Freelancer Python Developers Egypt
Python Developers 분야의 전체 프리랜서 확인 (대상 국가: Egypt)

포트폴리오

포트폴리오

12406866
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Spam mail detection using machine learning involves teaching a computer to recognize whether an email is spam or not based on certain characteristics or features of the email. Two common techniques for this are decision trees and Naive Bayes classifiers. Decision Trees: Imagine a flowchart where at each step, a decision is made based on certain features of the email. For spam detection, these features could be things like the frequency of certain words, the presence of certain phrases, or the sender's email address. The decision tree algorithm learns from a set of labeled emails (spam or not spam) and creates a tree structure where each node represents a feature, and each branch represents a possible value of that feature. At the end of each branch, there's a decision (spam or not spam). When a new email comes in, it follows the branches of the tree based on its features until it reaches a decision at the end. Naive Bayes Classifier: This classifier is based on Bayes' theorem, which
Spam mail detection using machine learning
11872672
This tool empowers you to create strong, unique passwords and store them securely. It offers: Random Password Generation: Generate complex, unguessable passwords tailored to your needs. AES Encryption: Benefit from industry-standard AES encryption to safeguard your stored passwords. Peace of Mind: Eliminate the burden of remembering numerous passwords and the risk of weak ones. Keep your online accounts safe and secure with this innovative password management solution.
password generator and storage with AES encryption
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Foundations of Cybersecurity course by Google
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This High-Level Design (HLD) diagram represents the components and interactions within an Internet and Mobile Banking System. Here's a breakdown of the main components and their relationships
This High-Level Design (HLD)
12351110
Android app about fighter jets with real time acces to multi api to get real time news world wide
Android app about fighter jets
12351101
Brain computer interface command traning using emotiv bci with accuracy 95+
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11893880
Spam mail detection using machine learning involves teaching a computer to recognize whether an email is spam or not based on certain characteristics or features of the email. Two common techniques for this are decision trees and Naive Bayes classifiers. Decision Trees: Imagine a flowchart where at each step, a decision is made based on certain features of the email. For spam detection, these features could be things like the frequency of certain words, the presence of certain phrases, or the sender's email address. The decision tree algorithm learns from a set of labeled emails (spam or not spam) and creates a tree structure where each node represents a feature, and each branch represents a possible value of that feature. At the end of each branch, there's a decision (spam or not spam). When a new email comes in, it follows the branches of the tree based on its features until it reaches a decision at the end. Naive Bayes Classifier: This classifier is based on Bayes' theorem, which
Spam mail detection using machine learning
11872672
This tool empowers you to create strong, unique passwords and store them securely. It offers: Random Password Generation: Generate complex, unguessable passwords tailored to your needs. AES Encryption: Benefit from industry-standard AES encryption to safeguard your stored passwords. Peace of Mind: Eliminate the burden of remembering numerous passwords and the risk of weak ones. Keep your online accounts safe and secure with this innovative password management solution.
password generator and storage with AES encryption
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경험
CTO
4월, 2024 - 선물
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4월, 2024 - 선물
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NO.Link
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1
Develop and design innovative NFC solution for differnet tasks
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1
Junior Cybersecurity Analyst
10월, 2023 - 선물
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1 , 3
Cisco Networking Academy
10월, 2023 - 선물
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I'm Certified as "Junior Cybersecurity analyst" from cisco networking academy , which is a 120 hours career path consisted of 6 courses + 7 exams along with packet tracer simulation labs
10월, 2023 - 선물
•
1 , 3
교육
Arab Academy for Science, Technology and Maritime Transport
2020 - 2024
•
4
Software Engineering
국기 ()
Egypt
2020 - 2024
•
4
자격증
ICD10
2023
AAPC
Experienced in medical coding proficient in ICD-10, combined with strong skills in data processing, cybersecurity, and quality management. Let me enhance the accuracy and efficiency of your medical records auditing process.
2023
BCI & Neurotechnology Spring School
2024
g-tec
completing 140 hours of cuttingedge education at the BCI & Neurotechnology Spring School
2024
CCNP
2023
Cisco
Cisco's CCNP (Cisco Certified Network Professional) certification is an advanced credential designed for experienced network professionals who are ready to advance their skills to the next level. CCNP certification validates the ability to plan, implement, verify, and troubleshoot local and wide-area enterprise networks.
2023
자격증
P
Preferred Freelancer Program SLA
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