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Yash BagalYB
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Yash Bagal

@yashbagal

Python developer and data analyst who built a VGG16 deepfake classifier with ~90% accuracy and shipped production websites on AWS.

India
Message

I built a deepfake image classifier by fine-tuning a pre-trained VGG16 CNN on a 50,000-image dataset, achieving ~90% classification accuracy. I handled data preparation, training, evaluation, and tuning independently.

For my School Management CRM project, I created a role-based Salesforce system for five staff roles, with record access controls and automated fee, marks, and library workflows. I also developed an Apex REST API to sync data across Salesforce orgs.

Through paid client engagements, I built and deployed two production websites on AWS, from infrastructure setup through go-live. I used EC2 for hosting and S3 for static assets.

As a Web Development Intern at Codesoft, I built and shipped seven client websites using HTML, CSS, JavaScript, and WordPress. I also implemented MySQL and MongoDB schemas and queries for dynamic content and data storage.

Experience

Work history, roles, and key accomplishments

CO

Web Development Intern

Codesoft

Built and shipped 7 client websites using HTML, CSS, JavaScript, and WordPress, deployed on Hostinger. Implemented MySQL and MongoDB schemas and queries to support dynamic content and data storage.

Education

Degrees, certifications, and relevant coursework

Savitribai Phule Pune University logoSU

Savitribai Phule Pune University

Bachelor of Engineering, Computer Engineering

Bachelor of Engineering in Computer Engineering from Savitribai Phule Pune University, Pune, India.

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