Highly motivated B-Tech student specializing in Data Science with foundational expertise in machine learning, deep learning, and cloud computing. Eager to apply strong analytical and technical skills to real-world projects, developing scalable and impactful solutions. Proven ability to quickly learn and integrate innovative technologies for effective problem-solving and driving success.
Guntur, Andhra Pradesh, India
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Summary
As a Technical Trainee, Vemula Naga Srinidhi delivered technical training in AI/ML/Data Science and mentored students on real-time projects, contributing to curriculum development and practical skill enhancement.
Highlights
Delivered technical training sessions to students in Machine Learning, Deep Learning, Artificial Intelligence, and Data Science, fostering foundational understanding and practical application.
Mentored students on real-time projects, providing comprehensive guidance in data preprocessing, model development, and evaluation phases.
Collaborated with the curriculum development team to refine and update learning content for emerging technologies, significantly enhancing educational relevance and student engagement.
Guntur, Andhra Pradesh, India
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Summary
As a Cloud Computing Intern, Vemula Naga Srinidhi developed practical expertise in AWS services, building web servers and deploying static websites, demonstrating foundational cloud infrastructure skills.
Highlights
Developed practical knowledge of AWS services, including building web servers, subnets, VPCs, and EC2 instances, successfully deploying cloud infrastructure components.
Gained hands-on experience in hosting static websites using Amazon S3, demonstrating proficiency in cloud storage and content delivery mechanisms.
Awarded By
Government of India (Implied)
Awarded for outstanding academic performance and merit during secondary education, supporting continued studies.
Published by
Peer-reviewed journal in AI healthcare (Submitted)
Summary
Authored a research paper detailing the use of the ConvNeXt-B model for classifying Diabetic Retinopathy stages from retinal fundus images, submitted to a reputed peer-reviewed journal in AI healthcare for publication.
Java (Object-Oriented Programming), Python.
NumPy, Pandas, Matplotlib, Seaborn, TensorFlow, Keras, Spring Boot, Flask.
Machine Learning Fundamentals, Deep Learning, Convolutional Neural Networks (CNN), Image Preprocessing, Model Development, Model Evaluation.
SQL (Data Querying), MySQL, PostgreSQL, MongoDB.
Software Development Principles, Design Patterns, SDLC (Software Development Life Cycle).
Data Structures, Algorithms.
Operating Systems, Computer Networks.
AWS Services, EC2, S3, VPC, Subnets.
Git, GitHub, Tableau, MS Office, HTML, CSS, JavaScript.
Effective Presentation Skills, Communication, Adaptability, Teamwork, Problem-solving, Organizing, Decision-making.
SICO (Student Club) Coordinator, Event Organization, Cultural Fests, Sports Fests.
Kabaddi, University-level Player.
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Summary
Developed a deep learning-powered web application for Diabetic Retinopathy (DR) detection and classification using the ConvNeXt-B architecture, aiming to enhance diagnostic accuracy and accessibility for medical professionals.