Jaydeep Chaudhari

As a highly motivated and detail-oriented B.Tech Computer Science engineer with a strong foundation in Artificial Intelligence (AI) and Image Processing, I have successfully executed projects that showcase my proficiency in Convolutional Neural Networks (CNN). My hands-on experience includes implementing cutting-edge solutions in AI and Image Processing, demonstrating a keen understanding of emerging technologies. Currently pursuing a Master's degree in Cybersecurity, I am expanding my skill set to address the evolving challenges in the digital landscape. My comprehensive background in both computer science and cybersecurity positions me as a versatile professional capable of bridging the gap between advanced technologies and robust security measures. I am eager to leverage my skills and knowledge to make meaningful contributions to the field of cybersecurity.

• Microsoft Technology Associate, 83.0 / 100.0, Understand Security Software, 88.0 / 100.0, Understand Network Security, 78.0 / 100.0, Understand Operating System Security, 87.0 / 100.0, Understand Security Layers, 67.0 / 100.0
• IBM, Cyber Security Risk Assessment sca Security, Gained Badge for Course of IBM in cybersecurity
• Remark Skill Education, Ethical Hacking Networking Microsoft
• Internshala Ethical Hacking, Ethical Hacking OSCP Network Security VAPT Web Development, 8 weeks course of Ethical Hacking of Internshala
• Ethical Hacking And Penetration Testing Course

A fresher graduate with a degree in BTech Computer Science and Engineering, I am eager to kickstart my career in the IT sector. I possess a strong foundation in Python programming language, networking, and image processing in AI. Gained through coursework and personal projects. I'm excited to contribute my skills and dedication to a dynamic IT team and continue to grow as a professional in this ever-evolving field

• Date of Birth: 08/30/01
• Gender: Male
• Marital Status: Single

• Bike Rides
• Travelling and Exploring
• Playing Games

01/09/23, 05/12/23, Star Galaxy Classification Using Deep Learning Algorithms, Prof.(Dr). Pranali Kosamkar, 4, Deep Learning Image Processing Image Segmentation AI, This system presents deep learning-based approach for star galaxy classification utilizing convolutional Neural Networks (CNNs) and the VGG16 architecture. Our proposed method employs a CNN-based framework, specifically the VGG16 model, which is renowned for its outstanding performance in various computer vision tasks.

• ENGLISH
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