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$30 USD / hora
Bandeira do(a) TURKEY
istanbul, turkey
$30 USD / hora
Atualmente, está 11:59 AM aqui
Ingressou em março 26, 2023
0 Recomendações

Bochra S.

@CBS1902

 0,0 (0 avaliações)
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$30 USD / hora
Bandeira do(a) TURKEY
istanbul, turkey
$30 USD / hora
Não se aplica
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Não se aplica
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Tech Support | Web Dev | Pentester | AI

Multilingual computer engineer, specialized in IT, AI, machine learning, deep learning, networks and cybersecurity. Fluent in Arabic, French, English and professionally speaking Spanish, Turkish, Korean, and beginner in Russian. Experienced with various programming languages including but not limited to: Python, C, C++, C#, JS, CSS, HTML, XAML, SQL, NoSQL, Java, Bash, absolute hands on projects on pentesting, cryptography, NLP, web and app development. Academic high honors in Bachelor's and Master's programs with interest research focus on Bluetooth security and blockchain in EHRs. Passionate about continious learning, interactive teaching, and pursuing a PhD. Hobbies: reading, writing, playing Piano/Violin, Psychology, Quantum Mechanics, Design, Astronomy.
Freelancer C Programmers Turkey
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Portfólio

11823276
I developed a comprehensive database management system for a hotel series named Luna, using SQL and C#. This project was tailored to simplify front desk office tasks, enhance customer experiences, and streamline hotel operations, including efficient check-in and check-out processes. Tools & Technologies: SQL, SSMS, C#, Visual Studio.
Database for Hotel Series
11823275
I worked on a machine learning project deep learning methodologies to classify animal sounds, specifically distinguishing between dog and cat vocalizations. Employing Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), with a focus on Long Short-Term Memory networks (LSTMs), the project utilized a diverse dataset of cat and dog audio files, including background noise for robust testing. Tools & Technologies: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) with LSTMs, Mel-frequency Cepstral Coefficients (MFCC), Keras and TensorFlow, Optimizers (Adam, SGD, RMSprop).
Audio classification of Dogs and Cats using CNN and RNN
11823271
The aim of this project was to setup an IPsec tunnel between a Raspberry Pi OS and a Sophos firewall, for a connected fingerprint attendance system to be seen on the other side of the network (The system's server was where the firewall is). As the project lead, I took care of the configuration of the IPsec tunnel, utilizing strongSwan for secure communication. This involved defining network endpoints, configuring DNS servers, and ensuring a robust connection between the Raspberry Pi and Sophos XG Firewall. Tools & Technologies: StrongSwan, motionEye server. Integrated network configuration and DNS settings.
IPsec on Raspberry Pi
11823267
Automating task using Bash for example: BackupFile.sh, DirectoryCleaner.sh, DublicateFileDetector.sh, EncrDecrFile.sh. FileComparison.sh, FileOrganizer.sh, FilePermissionChecker.sh, FileRenamer.sh, FileSizeChecker.sh, LogAnalyzer.sh, NetworkMonitoring.sh, PasswordGenerator.sh, SystemBackup.sh, SystemMonitor.sh, TaskScheduler.sh, TextManipulator.sh, WebsiteMonitoring.sh, finder_files.sh....
Bash Automation Scripts
11823263
Automating task using PowerShell for example: ADGroupMembershipReport.ps1, ADMultipleUserCreation.ps1, AutoEnableEventViewer.ps1, CheckModifiedWindowsFiles.ps1, CheckingWi-fiPasswords.ps1, DNSRecordCleanup.ps1, DeviceInfoCollector.ps1, DiskSpaceReport.ps1, ExchangeMailboxCleanup.ps1, FileBackup.ps1, NetworkMonitoring.ps1, PasswordExpirationNotification.ps1, PowerShellChatbot.ps1, RandomizedWallpaperChanger.ps1, Remote Desktop Session Cleanup.ps1, ResetPasswordBulk.ps1.....
PowerShell Automation Scripts
11823260
Customer Churn Prediction with Neural Networks For a telecom company, predicting and addressing customer churn is crucial. The goal of this project was to forecast customer behavior and develop targeted retention programs. Identifying key factors contributing to churn through exploratory data analysis (EDA) enables the creation of a proactive customer retention strategy. In general the objective was to build a predictive model using Artificial Neural Networks (ANN) and/or Logistic Regression to forecast customer churn. Tools & Technologies: Python, TensorFlow, Pandas, NumPy, Seaborn, Matplotlib.
Customer Churn Prediction with Neural Networks
11823276
I developed a comprehensive database management system for a hotel series named Luna, using SQL and C#. This project was tailored to simplify front desk office tasks, enhance customer experiences, and streamline hotel operations, including efficient check-in and check-out processes. Tools & Technologies: SQL, SSMS, C#, Visual Studio.
Database for Hotel Series
11823275
I worked on a machine learning project deep learning methodologies to classify animal sounds, specifically distinguishing between dog and cat vocalizations. Employing Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), with a focus on Long Short-Term Memory networks (LSTMs), the project utilized a diverse dataset of cat and dog audio files, including background noise for robust testing. Tools & Technologies: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) with LSTMs, Mel-frequency Cepstral Coefficients (MFCC), Keras and TensorFlow, Optimizers (Adam, SGD, RMSprop).
Audio classification of Dogs and Cats using CNN and RNN
11823271
The aim of this project was to setup an IPsec tunnel between a Raspberry Pi OS and a Sophos firewall, for a connected fingerprint attendance system to be seen on the other side of the network (The system's server was where the firewall is). As the project lead, I took care of the configuration of the IPsec tunnel, utilizing strongSwan for secure communication. This involved defining network endpoints, configuring DNS servers, and ensuring a robust connection between the Raspberry Pi and Sophos XG Firewall. Tools & Technologies: StrongSwan, motionEye server. Integrated network configuration and DNS settings.
IPsec on Raspberry Pi
11823267
Automating task using Bash for example: BackupFile.sh, DirectoryCleaner.sh, DublicateFileDetector.sh, EncrDecrFile.sh. FileComparison.sh, FileOrganizer.sh, FilePermissionChecker.sh, FileRenamer.sh, FileSizeChecker.sh, LogAnalyzer.sh, NetworkMonitoring.sh, PasswordGenerator.sh, SystemBackup.sh, SystemMonitor.sh, TaskScheduler.sh, TextManipulator.sh, WebsiteMonitoring.sh, finder_files.sh....
Bash Automation Scripts
11823263
Automating task using PowerShell for example: ADGroupMembershipReport.ps1, ADMultipleUserCreation.ps1, AutoEnableEventViewer.ps1, CheckModifiedWindowsFiles.ps1, CheckingWi-fiPasswords.ps1, DNSRecordCleanup.ps1, DeviceInfoCollector.ps1, DiskSpaceReport.ps1, ExchangeMailboxCleanup.ps1, FileBackup.ps1, NetworkMonitoring.ps1, PasswordExpirationNotification.ps1, PowerShellChatbot.ps1, RandomizedWallpaperChanger.ps1, Remote Desktop Session Cleanup.ps1, ResetPasswordBulk.ps1.....
PowerShell Automation Scripts
11823260
Customer Churn Prediction with Neural Networks For a telecom company, predicting and addressing customer churn is crucial. The goal of this project was to forecast customer behavior and develop targeted retention programs. Identifying key factors contributing to churn through exploratory data analysis (EDA) enables the creation of a proactive customer retention strategy. In general the objective was to build a predictive model using Artificial Neural Networks (ANN) and/or Logistic Regression to forecast customer churn. Tools & Technologies: Python, TensorFlow, Pandas, NumPy, Seaborn, Matplotlib.
Customer Churn Prediction with Neural Networks

Avaliações

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Experiência

IT Support Specialist

TecHive Yazılım ve Danışmanlık
ago. 2022 - dez. 2023 (1 ano, 4 meses)
Contact customers to provide solutions to technical problems Perform diagnostic tests and troubleshooting to identify clients' issues Carry out assessments to determine the need for changes in hardware/ software configurations Operate and work with equipment such as smartboards, external storage devices, computer diagnostic tools, printers etc. Perform scheduled maintenance on computer systems to ensure efficient operations Repair or replace faulty components of a computer/network system

Customer and IT Support Specialist

Gourmeturca.com
ago. 2021 - ago. 2022 (1 ano)
Provided customer support regarding all kind of issues including the technical ones. Collected data and reviewed it with the relevant departments in order to ameliorate the customer experience as well as targeting them. Monitoring the customer's computer if needed to fix their technical issues regarding our software application or website. Had coding tasks given by my supervisor and aiming to develop them for the company's software

Junior penetrator

Secure Data Technologies, Inc.
jun. 2021 - set. 2021 (3 meses, 1 dia)
Helped improving the computer security for our clients. Attempted to find new testing ways to identify any vulnerabilities. Performed physical security assessments of the client's systems. Reviewed and provided a feedback for information security fixes. Monitoring our customer's computers for any threat.

Educação

MSc Cybersecurity

Üsküdar University, Turkey 2022 - 2024
(2 anos)

Computer Engineering

Üsküdar University, Turkey 2018 - 2022
(4 anos)

Qualificações

Introduction to Physical Computing

Lancaster University
2023
https://www.futurelearn.com/certificates/q6t6flg

Containerize Applications with Docker

LinkedIn
2023
Docker

Optimization for Decision Making

University of Minnesota
2023
https://coursera.org/verify/BXVC6B9Q8LFC

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Verificações

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Principais Habilidades

C Programming
Python
Translation
Windows Desktop
System Admin

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