Customer Personality Analysis using Machine Learning
Summary
Developed a machine learning model to analyze customer data, providing actionable insights for personalized marketing strategies and campaign optimization.
Highly motivated Computer Science Engineer specializing in AI/ML, data analysis, and full-stack development, with a strong foundation in problem-solving and system design. Proven ability to leverage machine learning for business insights and develop robust web-based solutions, demonstrated through impactful projects and internships. Eager to apply technical expertise and collaborative skills in a challenging full-time position within the technology sector.
Intern
Jodhpur, Rajasthan, India
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Summary
Contributed to advanced AI/ML research as an Intern, focusing on cutting-edge deepfake detection technologies to enhance digital security.
Highlights
Researched and implemented advanced deepfake detection algorithms, contributing to the development of robust AI models for media authenticity verification.
Utilized machine learning techniques to analyze complex datasets, improving the accuracy and efficiency of deepfake identification processes.
Collaborated with senior engineers to integrate new detection methodologies, enhancing the overall capability of the platform.
Intern
Lucknow, UP, India
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Summary
Gained practical experience in Java, Python, and Machine Learning, supporting various development initiatives within a dynamic tech environment.
Highlights
Applied Java and Python programming skills to support backend development tasks, contributing to the functionality of internal systems.
Assisted in the implementation of machine learning models, gaining hands-on experience in data preprocessing and model training.
Participated in code reviews and debugging sessions, enhancing software quality and learning best practices in collaborative development.
Awarded By
DRDO
Recognized as a finalist in a national hackathon, demonstrating innovative problem-solving and technical prowess under the guidance of the Defence Research and Development Organisation.
Summary
Developed a machine learning model to analyze customer data, providing actionable insights for personalized marketing strategies and campaign optimization.
Summary
Designed and developed a comprehensive web-based system for real-time vehicle entry, exit, and management, emphasizing modular design and secure database integration.
C, C++, Java.
Linux.
Node.js, Spring Boot, React, HTML, CSS, JavaScript.
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Post Graduate Diploma (PG-DAC)
Advanced Computing
Courses
Core Java
Advanced Java
Data Structures and Algorithms (DSA)
Web Programming
Database Technologies (DBT)
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B.Tech
Computer Science and Engineering
Grade: 8.8/10 CGPA
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Higher Secondary
Grade: 60%
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Secondary School
Grade: 6.2/10 CGPA
Issued By
Deloitte
Issued By
TATA
Issued By
JP Morgan Chase & Co.