𝐃𝐚𝐭𝐚𝐄𝐧𝐜

𝐃𝐚𝐭𝐚 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐚𝐧𝐝 𝐏𝐫𝐢𝐯𝐚𝐜𝐲 (𝐄𝐧𝐜𝐫𝐲𝐩𝐭𝐢𝐨𝐧 & 𝐃𝐞𝐜𝐫𝐲𝐩𝐭𝐢𝐨𝐧) 𝐰𝐢𝐭𝐡 𝐒𝐭𝐚𝐭𝐞-𝐨𝐟-𝐭𝐡𝐞-𝐚𝐫𝐭 𝐀𝐈/𝐌𝐋 𝐚𝐧𝐝 𝐂𝐫𝐲𝐩𝐭𝐨𝐠𝐫𝐚𝐩𝐡𝐲 𝐀𝐩𝐩

Distinctive Features of DataEnc

• DataEnc is more than just a tool; it’s a transformative platform that revolutionizes data security strategies. Leveraging the power of AI and ML, it can encrypt and decrypt various types of tabular data, from CSV to JSON. Here are its standout features:
• Advanced and Most Secured: The data encryption utilizes AES-256 (Advanced Encryption Standard, a symmetric encryption algorithm that uses a 256-bit key). It is one of the most secure encryption methods used by the United States government and the tech giants.
• Data Compatibility: The app accepts tabular data in various formats such as CSV, XLSX, and JSON, providing flexibility to the users.
• Row-wise Encryption/Decryption: It uses a cryptography library to encrypt and decrypt data row by row, ensuring high-level symmetric encryption.
• Customizable Security: Users can multi-select columns for encryption and decryption, allowing personalized data security.
• Unique Key Generation: For each encryption process, a unique and strong key is generated, enhancing the security of encrypted data.
• Downloadable Outputs: Users can download both the unique key and the encrypted/decrypted file, ensuring easy access to outputs.
• Recognition: The app provides a DataEnc certificate, acknowledging the secure handling and processing of sensitive data.
• User-Friendly Interface: The app is designed with a user-friendly interface, making it easy for users to navigate and use the app effectively.
• Real-Time Processing: The app is capable of processing large datasets swiftly, ensuring efficiency and time-saving.
• Privacy Compliance: The app adheres to global standards in data privacy and protection laws, ensuring legal compliance and user trust.
• Continuous Improvement: The app is regularly updated based on user feedback and advancements in AI/ML and cryptography, ensuring it stays relevant and effective.
• Skills: Cybersecurity · Software Development · Product Development · Cryptography · Amazon Web Services (AWS) · Microsoft Azure · Google Cloud Platform (GCP) · TensorBoard · PyTorch · Python (Programming Language) · Product Management · agile development and scrum · A/B Testing · Large Language Models (LLM) · Artificial Intelligence (AI) · Generative AI · Research and Development (R&D) · Scikit-Learn · Pandas (Software) · NumPy · Plotly · Matplotlib · Extract, Transform, Load (ETL) · Deep Neural Networks (DNN) · User Experience (UX) · Digital Marketing · Sales · Customer Relationship Management (CRM) · Microsoft Office · DevOps · Data Analysis · NLTK · Blockchain · Microservices · Kubernetes · Project Management · Apache Spark · Business Development · HTML5 · Cascading Style Sheets (CSS) · JavaScript · MySQL
• Here is the project and product link: https://www.linkedin.com/in/kediromer/details/projects/